Mastering TRIZ for Innovative Problem Solving in the Age of AI
You're under pressure. The market moves faster every day, and your ability to innovate isn't just a competitive edge - it's the only thing keeping your role relevant. Stalled projects, recurring bottlenecks, and incremental fixes won't cut it anymore. You need breakthroughs, not band-aids. And you need them now. Artificial intelligence is amplifying every problem, making complexity harder to navigate, and raising the bar for what counts as a meaningful solution. Meanwhile, your peers are delivering AI-powered innovations that excite executives, attract funding, and redefine careers. You're not behind - you're just lacking the proven, systematic method to unlock the next-level ideas that already live in your mind. Mastering TRIZ for Innovative Problem Solving in the Age of AI gives you that method. This is not theory. It’s the most advanced innovation framework ever developed, now fully adapted to work seamlessly with AI tools, strategic foresight, and real-world constraints. In just 30 days, you’ll go from problem-frustration to fully structured, board-ready innovation proposals backed by TRIZ logic. One product lead at a global medtech firm applied these methods to a six-year stalemate in device miniaturisation. Using AI to enhance TRIZ contradiction analysis, she identified a solution path in 72 hours - and her team landed $2.3M in funding within three months. She didn’t have more time. She just had the right structure. You don’t need another brainstorming session. You need a repeatable, scalable system that treats intelligence as a force multiplier - not a distraction. A system that transforms chaotic thinking into sharp, patentable, implementable ideas on demand. This course is the missing link between your expertise and the recognition you deserve. It’s your exit from uncertainty, isolation, and stagnation. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-paced, on-demand learning with lifetime access - This course is designed for professionals who lead complex projects and cannot afford rigid schedules. Enroll today and begin immediately. There are no fixed start dates, no weekly assignments, and no time zones to manage. You progress at your own speed, on your terms. What You Can Expect
- Typical learners complete the core innovation framework in 17–22 hours, with many applying key TRIZ tools to live challenges within the first 48 hours
- Access is mobile-friendly and fully responsive - study during commutes, between meetings, or from any device
- Materials are structured in bite-sized, hands-on sections for maximum retention and immediate application
- You earn a globally recognised Certificate of Completion issued by The Art of Service, a name trusted by professionals in over 160 countries
Instructor Access & Support
You are not learning in isolation. This course includes direct guidance from certified TRIZ and innovation strategy practitioners. Submit questions through the secure learning platform and receive expert responses within 36 hours - including custom feedback on your applied projects and innovation briefs. Your Investment Is Protected
We offer a full 30-day satisfaction guarantee. If the course doesn’t deliver clarity, actionable tools, or measurable advantage in your problem-solving ability, simply request a refund. No forms, no hoops - just results or your money back. Transparent, Upfront Pricing
There are no hidden fees, subscriptions, or surprise costs. The price is a one-time payment for lifetime access. Future upgrades, enhancements, and new AI-integration case studies are included at no extra cost. You pay once and own it forever. Global Access & Secure Enrollment
The course accepts major payment methods including Visa, Mastercard, and PayPal. After enrollment, you’ll receive a confirmation email. Your access details, login, and course portal information will be delivered separately once your registration is processed - ensuring a secure and reliable onboarding experience. Designed for Real-World Application
This course works even if you’ve never studied TRIZ before. It works even if your workload is overwhelming. It works even if you’ve been burned by “innovation” programs that never translated into real outcomes. Engineers, R&D leads, product managers, and transformation officers have used this exact structure to achieve results - from resolving decade-old technical contradictions to fast-tracking AI-embedded use cases ahead of competitors. You’re not buying content. You’re enrolling in a professional transformation. And we’ve eliminated every form of risk to make that decision effortless.
Module 1: Foundations of TRIZ and AI-Augmented Innovation - Understanding the origin and evolution of TRIZ
- The limitations of traditional brainstorming in complex systems
- Why AI demands a structured innovation framework
- The 40 Principles of TRIZ: an overview
- Key concepts: Ideality, Contradictions, and Resources
- How AI amplifies TRIZ’s problem-solving power
- Defining technical and physical contradictions
- The importance of systematic innovation in the digital era
- Common cognitive biases in innovation and how TRIZ corrects them
- Mapping innovation maturity in organisations
Module 2: The TRIZ Contradiction Matrix and Its Modern AI Integration - How to identify and classify engineering contradictions
- Using the TRIZ Contradiction Matrix: step-by-step
- Interpreting the 39 Parameters and 40 Inventive Principles
- Selecting the most relevant principle for your problem
- AI tools for automating parameter selection and ranking
- Reducing solution space using machine learning filters
- Validating contradiction resolution with historical patents
- Building a custom contradiction library for your industry
- Case study: Resolving thermal management issues in AI hardware
- Using natural language processing to extract contradictions from project documentation
Module 3: The 40 Inventive Principles – Deep Mastery with AI Adaptation - Segmentation: breaking down systems for AI interpretation
- Taking out: isolating functions using AI analysis
- Local quality: optimising subsystems with data-driven insights
- Asymmetry: applying geometric innovation with simulation tools
- Merging: combining functions using AI pattern recognition
- Universality: designing multi-functional components
- Nesting: embedding systems within systems for AI efficiency
- Anti-weight: compensating for mass using predictive algorithms
- Pre-stressing: anticipating failure with AI forecasting
- Prior action: preparing systems in advance using automation logic
- Cushion in advance: mitigating risk through proactive design
- Equi-potentiality: reducing energy loss with AI modelling
- The other half: making use of underused system parts
- Spheroidality: applying non-linear geometries
- Dynamics: enabling responsive, adaptive systems
- Partial or excessive action: optimising performance thresholds
- Transition to a new dimension: exploring spatial innovation
- Mechanical vibration: enhancing interactions through resonance
- Periodic action: applying rhythmic processes
- Continuity of useful action: eliminating downtime
- Skipping: accelerating processes through omission
- Turning harm into benefit: transforming constraints into assets
- Feedback loops: building responsive AI-augmented systems
- Mediator: using intermediate elements for integration
- Self-service: enabling autonomous function through AI
- Copying: replicating high-value functions at low cost
- Disposable objects: designing for temporary utility
- Replacement of a mechanical system: using AI as a functional substitute
- Pneumatics and hydraulics: fluid-based innovation with digital control
- Flexible shells and thin films: lightweight design with AI monitoring
- Porous materials: embedding functionality through microstructure
- Changing the colour: using visual cues for system feedback
- Homogeneity: aligning materials and functions
- Discarding and recovering: lifecycle optimisation using AI
- Parameter changes: altering physical states for innovation
- Phase transitions: leveraging state changes in design
- Thermal expansion: applying material behaviour to solve problems
- Strong oxidants: enhancing reactions through chemical design
- Inert environment: controlling reactions with isolation
- Composite materials: combining properties for superior performance
Module 4: Function Analysis and the Substance-Field Model (Su-Field) - Mapping system functions using TRIZ notation
- Identifying useful, harmful, and insufficient functions
- The role of substances and fields in problem modelling
- Standard solutions for underperforming functions
- Using AI to generate functional diagrams from text inputs
- Analysing redundancy and interference in complex systems
- Automating function mapping with NLP and knowledge graphs
- Optimising system efficiency through functional trimming
- Detecting function conflicts with AI pattern detection
- Building scalable function models for enterprise systems
Module 5: The 76 Standard Solutions and AI-Powered Implementation - Class 1: Building and destroying substance-field models
- Class 2: Enhancing existing systems with minimal changes
- Class 3: Transitioning to more advanced systems
- Class 4: Detecting and measuring system parameters
- Class 5: Simplifying and trimming system components
- Using AI to recommend applicable standard solutions
- Integrating standard solutions into design workflows
- Validating solutions against industry benchmarks
- Case study: AI-based refinement in aerospace subsystems
- Training AI models on TRIZ standards for rapid assistance
Module 6: Scientific Effects and the Knowledge Base - Accessing 400+ scientific effects for engineering innovation
- Categorising effects by physical, chemical, and biological domains
- Matching effects to specific problem parameters
- Building a custom effects database for your industry
- Using AI to search scientific literature for applicable effects
- Integrating academic research into practical design
- Linking effects to the 40 Principles and standard solutions
- Overcoming material limitations with known physical laws
- AI-assisted effect selection based on performance criteria
- Documenting and justifying innovative solutions
Module 7: The Trends of Technical Evolution - Understanding S-Curve development in technology
- Identifying the current stage of your system’s evolution
- Increasing ideality: doing more with less
- Transition to the micro-level: leveraging nanotechnology
- Increasing segmentation: more precise control
- Integration into supersystems: system scaling
- Dynamisation: making systems more flexible and adaptive
- Increasing controllability: embedding feedback mechanisms
- Transition to a field-based system: reducing mechanical parts
- Completeness of parts: ensuring functional coherence
- Coordination of rhythms: synchronising system behaviour
- Matching trends with AI-driven market forecasting
- Predicting next-generation systems using trend analysis
- Using AI to assess trend viability and risk
- Aligning R&D roadmaps with evolutionary trajectories
Module 8: ARIZ – The Algorithm for Inventive Problem Solving - Overview of the 9-step ARIZ process
- Formulating the problem model without bias
- Identifying the ideal final result (IFR)
- Creating the contradiction tree
- Applying physical contradictions and separation principles
- Resolving conflicts using space, time, or condition separation
- Generating multiple solution paths using combinatorial logic
- Integrating AI to expand solution space
- Evaluating solutions against feasibility and cost
- Documenting the innovation journey for stakeholder review
Module 9: AI-Driven Innovation Workflows - How to combine TRIZ with prompt engineering
- Using AI to draft problem statements from meeting notes
- Automating initial contradiction identification
- Generating multiple ideation paths from a single prompt
- AI-assisted refinement of TRIZ-generated solutions
- Bias detection in AI-generated ideas using TRIZ logic
- Validating AI outputs with the 40 Principles
- Building custom AI agents trained on TRIZ philosophy
- Creating automated innovation reports with executive summaries
- Integrating TRIZ into AI-powered design sprints
Module 10: Real-World Application and Industry Case Studies - TRIZ in aerospace: solving weight versus strength conflicts
- Medical device innovation: resolving sterility and usability trade-offs
- AI chip design: overcoming heat dissipation limits
- Automotive sector: improving safety without adding cost
- Software engineering: reducing complexity in AI architectures
- Energy systems: increasing output with minimal resource input
- Sustainability: applying TRIZ to circular economy challenges
- Consumer electronics: balancing performance and battery life
- Manufacturing: eliminating downtime using predictive TRIZ
- Telecoms: increasing bandwidth without infrastructure overhaul
Module 11: Hands-On Innovation Projects - Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- Understanding the origin and evolution of TRIZ
- The limitations of traditional brainstorming in complex systems
- Why AI demands a structured innovation framework
- The 40 Principles of TRIZ: an overview
- Key concepts: Ideality, Contradictions, and Resources
- How AI amplifies TRIZ’s problem-solving power
- Defining technical and physical contradictions
- The importance of systematic innovation in the digital era
- Common cognitive biases in innovation and how TRIZ corrects them
- Mapping innovation maturity in organisations
Module 2: The TRIZ Contradiction Matrix and Its Modern AI Integration - How to identify and classify engineering contradictions
- Using the TRIZ Contradiction Matrix: step-by-step
- Interpreting the 39 Parameters and 40 Inventive Principles
- Selecting the most relevant principle for your problem
- AI tools for automating parameter selection and ranking
- Reducing solution space using machine learning filters
- Validating contradiction resolution with historical patents
- Building a custom contradiction library for your industry
- Case study: Resolving thermal management issues in AI hardware
- Using natural language processing to extract contradictions from project documentation
Module 3: The 40 Inventive Principles – Deep Mastery with AI Adaptation - Segmentation: breaking down systems for AI interpretation
- Taking out: isolating functions using AI analysis
- Local quality: optimising subsystems with data-driven insights
- Asymmetry: applying geometric innovation with simulation tools
- Merging: combining functions using AI pattern recognition
- Universality: designing multi-functional components
- Nesting: embedding systems within systems for AI efficiency
- Anti-weight: compensating for mass using predictive algorithms
- Pre-stressing: anticipating failure with AI forecasting
- Prior action: preparing systems in advance using automation logic
- Cushion in advance: mitigating risk through proactive design
- Equi-potentiality: reducing energy loss with AI modelling
- The other half: making use of underused system parts
- Spheroidality: applying non-linear geometries
- Dynamics: enabling responsive, adaptive systems
- Partial or excessive action: optimising performance thresholds
- Transition to a new dimension: exploring spatial innovation
- Mechanical vibration: enhancing interactions through resonance
- Periodic action: applying rhythmic processes
- Continuity of useful action: eliminating downtime
- Skipping: accelerating processes through omission
- Turning harm into benefit: transforming constraints into assets
- Feedback loops: building responsive AI-augmented systems
- Mediator: using intermediate elements for integration
- Self-service: enabling autonomous function through AI
- Copying: replicating high-value functions at low cost
- Disposable objects: designing for temporary utility
- Replacement of a mechanical system: using AI as a functional substitute
- Pneumatics and hydraulics: fluid-based innovation with digital control
- Flexible shells and thin films: lightweight design with AI monitoring
- Porous materials: embedding functionality through microstructure
- Changing the colour: using visual cues for system feedback
- Homogeneity: aligning materials and functions
- Discarding and recovering: lifecycle optimisation using AI
- Parameter changes: altering physical states for innovation
- Phase transitions: leveraging state changes in design
- Thermal expansion: applying material behaviour to solve problems
- Strong oxidants: enhancing reactions through chemical design
- Inert environment: controlling reactions with isolation
- Composite materials: combining properties for superior performance
Module 4: Function Analysis and the Substance-Field Model (Su-Field) - Mapping system functions using TRIZ notation
- Identifying useful, harmful, and insufficient functions
- The role of substances and fields in problem modelling
- Standard solutions for underperforming functions
- Using AI to generate functional diagrams from text inputs
- Analysing redundancy and interference in complex systems
- Automating function mapping with NLP and knowledge graphs
- Optimising system efficiency through functional trimming
- Detecting function conflicts with AI pattern detection
- Building scalable function models for enterprise systems
Module 5: The 76 Standard Solutions and AI-Powered Implementation - Class 1: Building and destroying substance-field models
- Class 2: Enhancing existing systems with minimal changes
- Class 3: Transitioning to more advanced systems
- Class 4: Detecting and measuring system parameters
- Class 5: Simplifying and trimming system components
- Using AI to recommend applicable standard solutions
- Integrating standard solutions into design workflows
- Validating solutions against industry benchmarks
- Case study: AI-based refinement in aerospace subsystems
- Training AI models on TRIZ standards for rapid assistance
Module 6: Scientific Effects and the Knowledge Base - Accessing 400+ scientific effects for engineering innovation
- Categorising effects by physical, chemical, and biological domains
- Matching effects to specific problem parameters
- Building a custom effects database for your industry
- Using AI to search scientific literature for applicable effects
- Integrating academic research into practical design
- Linking effects to the 40 Principles and standard solutions
- Overcoming material limitations with known physical laws
- AI-assisted effect selection based on performance criteria
- Documenting and justifying innovative solutions
Module 7: The Trends of Technical Evolution - Understanding S-Curve development in technology
- Identifying the current stage of your system’s evolution
- Increasing ideality: doing more with less
- Transition to the micro-level: leveraging nanotechnology
- Increasing segmentation: more precise control
- Integration into supersystems: system scaling
- Dynamisation: making systems more flexible and adaptive
- Increasing controllability: embedding feedback mechanisms
- Transition to a field-based system: reducing mechanical parts
- Completeness of parts: ensuring functional coherence
- Coordination of rhythms: synchronising system behaviour
- Matching trends with AI-driven market forecasting
- Predicting next-generation systems using trend analysis
- Using AI to assess trend viability and risk
- Aligning R&D roadmaps with evolutionary trajectories
Module 8: ARIZ – The Algorithm for Inventive Problem Solving - Overview of the 9-step ARIZ process
- Formulating the problem model without bias
- Identifying the ideal final result (IFR)
- Creating the contradiction tree
- Applying physical contradictions and separation principles
- Resolving conflicts using space, time, or condition separation
- Generating multiple solution paths using combinatorial logic
- Integrating AI to expand solution space
- Evaluating solutions against feasibility and cost
- Documenting the innovation journey for stakeholder review
Module 9: AI-Driven Innovation Workflows - How to combine TRIZ with prompt engineering
- Using AI to draft problem statements from meeting notes
- Automating initial contradiction identification
- Generating multiple ideation paths from a single prompt
- AI-assisted refinement of TRIZ-generated solutions
- Bias detection in AI-generated ideas using TRIZ logic
- Validating AI outputs with the 40 Principles
- Building custom AI agents trained on TRIZ philosophy
- Creating automated innovation reports with executive summaries
- Integrating TRIZ into AI-powered design sprints
Module 10: Real-World Application and Industry Case Studies - TRIZ in aerospace: solving weight versus strength conflicts
- Medical device innovation: resolving sterility and usability trade-offs
- AI chip design: overcoming heat dissipation limits
- Automotive sector: improving safety without adding cost
- Software engineering: reducing complexity in AI architectures
- Energy systems: increasing output with minimal resource input
- Sustainability: applying TRIZ to circular economy challenges
- Consumer electronics: balancing performance and battery life
- Manufacturing: eliminating downtime using predictive TRIZ
- Telecoms: increasing bandwidth without infrastructure overhaul
Module 11: Hands-On Innovation Projects - Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- Segmentation: breaking down systems for AI interpretation
- Taking out: isolating functions using AI analysis
- Local quality: optimising subsystems with data-driven insights
- Asymmetry: applying geometric innovation with simulation tools
- Merging: combining functions using AI pattern recognition
- Universality: designing multi-functional components
- Nesting: embedding systems within systems for AI efficiency
- Anti-weight: compensating for mass using predictive algorithms
- Pre-stressing: anticipating failure with AI forecasting
- Prior action: preparing systems in advance using automation logic
- Cushion in advance: mitigating risk through proactive design
- Equi-potentiality: reducing energy loss with AI modelling
- The other half: making use of underused system parts
- Spheroidality: applying non-linear geometries
- Dynamics: enabling responsive, adaptive systems
- Partial or excessive action: optimising performance thresholds
- Transition to a new dimension: exploring spatial innovation
- Mechanical vibration: enhancing interactions through resonance
- Periodic action: applying rhythmic processes
- Continuity of useful action: eliminating downtime
- Skipping: accelerating processes through omission
- Turning harm into benefit: transforming constraints into assets
- Feedback loops: building responsive AI-augmented systems
- Mediator: using intermediate elements for integration
- Self-service: enabling autonomous function through AI
- Copying: replicating high-value functions at low cost
- Disposable objects: designing for temporary utility
- Replacement of a mechanical system: using AI as a functional substitute
- Pneumatics and hydraulics: fluid-based innovation with digital control
- Flexible shells and thin films: lightweight design with AI monitoring
- Porous materials: embedding functionality through microstructure
- Changing the colour: using visual cues for system feedback
- Homogeneity: aligning materials and functions
- Discarding and recovering: lifecycle optimisation using AI
- Parameter changes: altering physical states for innovation
- Phase transitions: leveraging state changes in design
- Thermal expansion: applying material behaviour to solve problems
- Strong oxidants: enhancing reactions through chemical design
- Inert environment: controlling reactions with isolation
- Composite materials: combining properties for superior performance
Module 4: Function Analysis and the Substance-Field Model (Su-Field) - Mapping system functions using TRIZ notation
- Identifying useful, harmful, and insufficient functions
- The role of substances and fields in problem modelling
- Standard solutions for underperforming functions
- Using AI to generate functional diagrams from text inputs
- Analysing redundancy and interference in complex systems
- Automating function mapping with NLP and knowledge graphs
- Optimising system efficiency through functional trimming
- Detecting function conflicts with AI pattern detection
- Building scalable function models for enterprise systems
Module 5: The 76 Standard Solutions and AI-Powered Implementation - Class 1: Building and destroying substance-field models
- Class 2: Enhancing existing systems with minimal changes
- Class 3: Transitioning to more advanced systems
- Class 4: Detecting and measuring system parameters
- Class 5: Simplifying and trimming system components
- Using AI to recommend applicable standard solutions
- Integrating standard solutions into design workflows
- Validating solutions against industry benchmarks
- Case study: AI-based refinement in aerospace subsystems
- Training AI models on TRIZ standards for rapid assistance
Module 6: Scientific Effects and the Knowledge Base - Accessing 400+ scientific effects for engineering innovation
- Categorising effects by physical, chemical, and biological domains
- Matching effects to specific problem parameters
- Building a custom effects database for your industry
- Using AI to search scientific literature for applicable effects
- Integrating academic research into practical design
- Linking effects to the 40 Principles and standard solutions
- Overcoming material limitations with known physical laws
- AI-assisted effect selection based on performance criteria
- Documenting and justifying innovative solutions
Module 7: The Trends of Technical Evolution - Understanding S-Curve development in technology
- Identifying the current stage of your system’s evolution
- Increasing ideality: doing more with less
- Transition to the micro-level: leveraging nanotechnology
- Increasing segmentation: more precise control
- Integration into supersystems: system scaling
- Dynamisation: making systems more flexible and adaptive
- Increasing controllability: embedding feedback mechanisms
- Transition to a field-based system: reducing mechanical parts
- Completeness of parts: ensuring functional coherence
- Coordination of rhythms: synchronising system behaviour
- Matching trends with AI-driven market forecasting
- Predicting next-generation systems using trend analysis
- Using AI to assess trend viability and risk
- Aligning R&D roadmaps with evolutionary trajectories
Module 8: ARIZ – The Algorithm for Inventive Problem Solving - Overview of the 9-step ARIZ process
- Formulating the problem model without bias
- Identifying the ideal final result (IFR)
- Creating the contradiction tree
- Applying physical contradictions and separation principles
- Resolving conflicts using space, time, or condition separation
- Generating multiple solution paths using combinatorial logic
- Integrating AI to expand solution space
- Evaluating solutions against feasibility and cost
- Documenting the innovation journey for stakeholder review
Module 9: AI-Driven Innovation Workflows - How to combine TRIZ with prompt engineering
- Using AI to draft problem statements from meeting notes
- Automating initial contradiction identification
- Generating multiple ideation paths from a single prompt
- AI-assisted refinement of TRIZ-generated solutions
- Bias detection in AI-generated ideas using TRIZ logic
- Validating AI outputs with the 40 Principles
- Building custom AI agents trained on TRIZ philosophy
- Creating automated innovation reports with executive summaries
- Integrating TRIZ into AI-powered design sprints
Module 10: Real-World Application and Industry Case Studies - TRIZ in aerospace: solving weight versus strength conflicts
- Medical device innovation: resolving sterility and usability trade-offs
- AI chip design: overcoming heat dissipation limits
- Automotive sector: improving safety without adding cost
- Software engineering: reducing complexity in AI architectures
- Energy systems: increasing output with minimal resource input
- Sustainability: applying TRIZ to circular economy challenges
- Consumer electronics: balancing performance and battery life
- Manufacturing: eliminating downtime using predictive TRIZ
- Telecoms: increasing bandwidth without infrastructure overhaul
Module 11: Hands-On Innovation Projects - Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- Class 1: Building and destroying substance-field models
- Class 2: Enhancing existing systems with minimal changes
- Class 3: Transitioning to more advanced systems
- Class 4: Detecting and measuring system parameters
- Class 5: Simplifying and trimming system components
- Using AI to recommend applicable standard solutions
- Integrating standard solutions into design workflows
- Validating solutions against industry benchmarks
- Case study: AI-based refinement in aerospace subsystems
- Training AI models on TRIZ standards for rapid assistance
Module 6: Scientific Effects and the Knowledge Base - Accessing 400+ scientific effects for engineering innovation
- Categorising effects by physical, chemical, and biological domains
- Matching effects to specific problem parameters
- Building a custom effects database for your industry
- Using AI to search scientific literature for applicable effects
- Integrating academic research into practical design
- Linking effects to the 40 Principles and standard solutions
- Overcoming material limitations with known physical laws
- AI-assisted effect selection based on performance criteria
- Documenting and justifying innovative solutions
Module 7: The Trends of Technical Evolution - Understanding S-Curve development in technology
- Identifying the current stage of your system’s evolution
- Increasing ideality: doing more with less
- Transition to the micro-level: leveraging nanotechnology
- Increasing segmentation: more precise control
- Integration into supersystems: system scaling
- Dynamisation: making systems more flexible and adaptive
- Increasing controllability: embedding feedback mechanisms
- Transition to a field-based system: reducing mechanical parts
- Completeness of parts: ensuring functional coherence
- Coordination of rhythms: synchronising system behaviour
- Matching trends with AI-driven market forecasting
- Predicting next-generation systems using trend analysis
- Using AI to assess trend viability and risk
- Aligning R&D roadmaps with evolutionary trajectories
Module 8: ARIZ – The Algorithm for Inventive Problem Solving - Overview of the 9-step ARIZ process
- Formulating the problem model without bias
- Identifying the ideal final result (IFR)
- Creating the contradiction tree
- Applying physical contradictions and separation principles
- Resolving conflicts using space, time, or condition separation
- Generating multiple solution paths using combinatorial logic
- Integrating AI to expand solution space
- Evaluating solutions against feasibility and cost
- Documenting the innovation journey for stakeholder review
Module 9: AI-Driven Innovation Workflows - How to combine TRIZ with prompt engineering
- Using AI to draft problem statements from meeting notes
- Automating initial contradiction identification
- Generating multiple ideation paths from a single prompt
- AI-assisted refinement of TRIZ-generated solutions
- Bias detection in AI-generated ideas using TRIZ logic
- Validating AI outputs with the 40 Principles
- Building custom AI agents trained on TRIZ philosophy
- Creating automated innovation reports with executive summaries
- Integrating TRIZ into AI-powered design sprints
Module 10: Real-World Application and Industry Case Studies - TRIZ in aerospace: solving weight versus strength conflicts
- Medical device innovation: resolving sterility and usability trade-offs
- AI chip design: overcoming heat dissipation limits
- Automotive sector: improving safety without adding cost
- Software engineering: reducing complexity in AI architectures
- Energy systems: increasing output with minimal resource input
- Sustainability: applying TRIZ to circular economy challenges
- Consumer electronics: balancing performance and battery life
- Manufacturing: eliminating downtime using predictive TRIZ
- Telecoms: increasing bandwidth without infrastructure overhaul
Module 11: Hands-On Innovation Projects - Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- Understanding S-Curve development in technology
- Identifying the current stage of your system’s evolution
- Increasing ideality: doing more with less
- Transition to the micro-level: leveraging nanotechnology
- Increasing segmentation: more precise control
- Integration into supersystems: system scaling
- Dynamisation: making systems more flexible and adaptive
- Increasing controllability: embedding feedback mechanisms
- Transition to a field-based system: reducing mechanical parts
- Completeness of parts: ensuring functional coherence
- Coordination of rhythms: synchronising system behaviour
- Matching trends with AI-driven market forecasting
- Predicting next-generation systems using trend analysis
- Using AI to assess trend viability and risk
- Aligning R&D roadmaps with evolutionary trajectories
Module 8: ARIZ – The Algorithm for Inventive Problem Solving - Overview of the 9-step ARIZ process
- Formulating the problem model without bias
- Identifying the ideal final result (IFR)
- Creating the contradiction tree
- Applying physical contradictions and separation principles
- Resolving conflicts using space, time, or condition separation
- Generating multiple solution paths using combinatorial logic
- Integrating AI to expand solution space
- Evaluating solutions against feasibility and cost
- Documenting the innovation journey for stakeholder review
Module 9: AI-Driven Innovation Workflows - How to combine TRIZ with prompt engineering
- Using AI to draft problem statements from meeting notes
- Automating initial contradiction identification
- Generating multiple ideation paths from a single prompt
- AI-assisted refinement of TRIZ-generated solutions
- Bias detection in AI-generated ideas using TRIZ logic
- Validating AI outputs with the 40 Principles
- Building custom AI agents trained on TRIZ philosophy
- Creating automated innovation reports with executive summaries
- Integrating TRIZ into AI-powered design sprints
Module 10: Real-World Application and Industry Case Studies - TRIZ in aerospace: solving weight versus strength conflicts
- Medical device innovation: resolving sterility and usability trade-offs
- AI chip design: overcoming heat dissipation limits
- Automotive sector: improving safety without adding cost
- Software engineering: reducing complexity in AI architectures
- Energy systems: increasing output with minimal resource input
- Sustainability: applying TRIZ to circular economy challenges
- Consumer electronics: balancing performance and battery life
- Manufacturing: eliminating downtime using predictive TRIZ
- Telecoms: increasing bandwidth without infrastructure overhaul
Module 11: Hands-On Innovation Projects - Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- How to combine TRIZ with prompt engineering
- Using AI to draft problem statements from meeting notes
- Automating initial contradiction identification
- Generating multiple ideation paths from a single prompt
- AI-assisted refinement of TRIZ-generated solutions
- Bias detection in AI-generated ideas using TRIZ logic
- Validating AI outputs with the 40 Principles
- Building custom AI agents trained on TRIZ philosophy
- Creating automated innovation reports with executive summaries
- Integrating TRIZ into AI-powered design sprints
Module 10: Real-World Application and Industry Case Studies - TRIZ in aerospace: solving weight versus strength conflicts
- Medical device innovation: resolving sterility and usability trade-offs
- AI chip design: overcoming heat dissipation limits
- Automotive sector: improving safety without adding cost
- Software engineering: reducing complexity in AI architectures
- Energy systems: increasing output with minimal resource input
- Sustainability: applying TRIZ to circular economy challenges
- Consumer electronics: balancing performance and battery life
- Manufacturing: eliminating downtime using predictive TRIZ
- Telecoms: increasing bandwidth without infrastructure overhaul
Module 11: Hands-On Innovation Projects - Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- Selecting a real-world problem from your work
- Applying TRIZ to define system boundaries and functions
- Identifying contradictions and formulating the conflict
- Using the Contradiction Matrix to generate solution ideas
- Applying relevant Inventive Principles
- Drafting a solution proposal using the Su-Field model
- Validating ideas with scientific effects and standards
- Incorporating AI feedback to refine the concept
- Mapping the solution to technical evolution trends
- Documenting the entire innovation process for review
Module 12: Communication, Stakeholder Buy-In, and Executive Pitching - Translating TRIZ outputs into business language
- Structuring a board-ready innovation proposal
- Using visuals to explain complex TRIZ logic
- Aligning innovation with strategic goals
- Handling common objections from executives
- Building a business case with cost-benefit analysis
- Presenting evidence from historical patents and data
- Demonstrating ROI of TRIZ-based solutions
- Securing funding and project approval
- Positioning yourself as an innovation leader
Module 13: Integration with Organisational Innovation Systems - Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity
Module 14: Certification, Career Advancement, and Next Steps - Requirements for earning your Certificate of Completion
- How to showcase your TRIZ certification on LinkedIn and resumes
- Leveraging this credential in performance reviews and promotions
- Becoming a certified internal TRIZ facilitator
- Accessing advanced resources and communities
- Continuing education paths in systematic innovation
- Contributing to the global TRIZ knowledge base
- Using your certification to consult or lead innovation workshops
- Staying updated with new AI-TRIZ integrations
- Your lifelong innovation advantage with TRIZ mastery
- Embedding TRIZ into R&D workflows
- Training teams on core TRIZ concepts
- Creating innovation checklists using the 40 Principles
- Linking TRIZ with Agile, Lean, and Six Sigma
- Using AI dashboards to track innovation metrics
- Establishing TRIZ review gates in project lifecycles
- Scaling solutions across departments
- Measuring the impact of TRIZ on time-to-market
- Reducing iteration cycles with systematic innovation
- Building a culture of structured creativity