Posted on November 14, 2025 by Siddarthan Natarajan -
Part 1: The Holistic View of the Business
- The Agile BA role in relation to mission and objectives
- How to analyze the business environment
- Measuring the success of implementing change
Part 2: The Agile Landscape
- What is Agile? Approaches and frameworks
- Why is Agile needed?
- Role and responsibilities of the Agile BA and Agile team
Part 3: Stakeholders
- Stakeholder types / personas
- RACI and RASCI in Agile
- Empowerment of Stakeholders in an Agile project
Part 4: Dealing with Requirements
- The Agile approach to requirements
- User Stories, Epics, Acceptance Criteria
- The Agile Business Analyst’s link to quality and testing
- The Agile Requirements Life Cycle
- Checking completeness
Part 5: The Agile Business Case
- Strategic and project business cases
- Understanding the business problem
- As Is, To Be, Abstraction
- Gap Analysis and Value Streams
Part 6: Facilitated Workshops
- The role of Facilitation in Agile
- How to organize and run a Facilitated Workshop
Part 7: Prioritization
- Combining and prioritizing requirements
- Customer perception and expectation
Part 8: Modelling and prototyping
- 6 perspectives for modelling
- Tacit information
- Reasons and perspectives for prototyping
Part 9: Working in a timebox
- Timebox structure and iterative development
Posted on October 29, 2025 by Siddarthan Natarajan -
Lesson 1 – Change Agent: Guiding Your Organization to True AI Success
Focus: Orientation and foundational mindset
Key topics:
- Course logistics, setup, and tools (Companion app, BYO-LLM)
- Working agreements and safety: Be present, not perfect
- Core skillset of an AI-Native Change Agent
- AI Fluency
- Value Maximization
- AI-Powered Facilitation
- Solution Lifecycle mastery
- Course outcome: move projects beyond the “POC graveyard,” guide AI adoption, and amplify organizational impact
Lesson 2 – Advancing AI Fluency
Focus: Translate AI concepts into business language
You will learn to:
- Translate technical AI trade-offs into business value
- Differentiate core AI solution patterns:
- Off-the-shelf vs. Custom build
- Retrieval-Augmented Generation (RAG)
- Fine-Tuning
- AI Agents
- Evaluate feasibility with filters and risk lenses
- Identify technical and process red flags
- Discussion: What gets lost in translation between business and technical teams?
Lesson 3 – Value Maximization
Focus: Unlock hidden value in existing AI assets
You will learn to:
- Audit AI tools already in use
- Activate underused capabilities by tracking AI evolution
- Optimize to improve efficiency and ROI
- Centralize best practices to scale success and prevent redundancy
- Concepts introduced:
- Audit → Activate → Optimize → Centralize framework
- The 7 AI-Native Success Factors
- When to build POCs vs. full solutions
Lesson 4 – AI-Powered Facilitation
Focus: Align people and resolve friction in AI initiatives
You will learn to:
- Recognize stakeholder goals and fears
- Use AI to generate powerful questions and manage conflict
- Build psychological safety and constructive dialogue
- Guide meetings with focus and clarity
- WIIFM: Learn to keep initiatives moving forward when teams stall or disagree.
Lesson 5 – Sense & Discover
Focus: The first phase of the AI-Native Solution Lifecycle
You will learn to:
- Identify and analyze key stakeholders
- Uncover hidden risks and opportunities
- Apply AI-assisted discovery to find the real business problem
- Create a living AI-Native Solution Charter
- Outcome: Get the right people focused on the right AI problem using AI as your discovery partner.
Lesson 6 – Design the Solution
Focus: Building the AI-Native Value Blueprint
Key components:
- Value Proposal – The why: define success and outcomes
- AI Solution – The what: approach and interaction design
- Data Strategy – The fuel: sourcing, securing, managing data
- Production Operations – The path to production: maintaining and scaling
- Risk & Compliance – The guardrails: responsible AI and governance
- Viability Assessment – The payoff: ROI and adoption readiness
Lesson 7 – Deliver the Solution
Focus: Execution and continuous learning
You will learn to:
- Build resilient, adaptive AI roadmaps
- Maintain momentum and remove blockers
- Apply agile learning cycles for rapid iteration
- Measure value and ensure readiness for deployment
- Outcome: Confidently guide your team through AI implementation to successful launch.
Lesson 8 – Tell the Story
Focus: Amplifying success with AI-powered storytelling
You will learn to:
- Identify impactful success stories within your organization
- Use AI tools to adapt and scale those stories
- Create narratives that inspire enterprise-wide adoption
- Discussion: Why do successful AI pilots stay trapped in silos?
- Outcome: Transform one AI win into a company-wide success story.
Lesson 9 – Expanding Your Impact
Focus: Career and organizational growth
You will learn to:
- Create a personal roadmap as an AI-Native Change Agent
- Align your learning and certification goals
- Apply course tools in real projects
- Facilitate AI-Native Value Process end-to-end
- Phases of Impact:
- Foundation & Opportunity Identification – Audit readiness, find AI opportunities
- Propose & Prepare – Build business case and solution charter
- Deliver & Scale – Lead implementation and storytelling to amplify success
Posted on October 29, 2025 by Siddarthan Natarajan -
Throughout this blended learning pathway, learners will complete various activities to practice and apply knowledge, and the Learning Lab will cumulatively assess all skills gained. Those who complete all required elements will be eligible for the Advanced Scrum Master certification:
• Advanced Facilitator: Conflict and Collaboration
• Self Paced Learning(2 hours)
• Facilitated Workshop(4hours)
• SAFe Skills(Self Paced)
• Measuring Team and ART Flow( 1hour)
• Accelerating Team Flow (1 hour)
• Cultivating High performing Teams(1 hour)
• 4 hour learning Lab
Posted on September 8, 2025 by cprime-admin -
Introduction to AI-Native Foundations
- Overview of course objectives and outcomes
- Introduction to the EDGE™ Imperative
Part 1: Grasp the EDGE™ Imperative
- Explore Exponential, Disruptive, Generative, and Emergent forces transforming work
- Discuss the impact of these forces on various industries
Part 2: Understanding AI and Related Technologies
- Simplified explanations of AI, ML, GenAI, LLMs, RAG, and intelligent agents
- Master safe and effective AI prompting with proven techniques
- Real-world examples and applications
Part 3: Applying AI-Native Success Factors
- Introduction to the 7 AI-Native Success Factors
- Case studies and practical applications to drive value from day one
Part 4: Workflow Improvement and Transformational Thinking
- Redesign one of your personal workflows using AI
- Business Brief: Identifying high-impact opportunities
- Strategies for transformational thinking in AI adoption
Part 5: Roadmap to AI-Native
- Develop a strategic approach to becoming AI-Native
- Tools and strategies for implementation
Part 6: The AI-Native Pitch
- Design a personal 30-60-90 day AI plan
- Pitch AI use cases with confidence
- Workshop: Crafting and delivering effective AI pitches
Conclusion and Next Steps
- Recap of key learnings
- Strategies for continued AI fluency and confidence
- Q&A and feedback session
Posted on June 25, 2025 by cprime-admin -
Section 1: Introduction to Technical Program Management
- What is Program Management
- What is different about Technical Program Management
- Brief History of Technical Program Management
- Technical Program Structure → Organizational overview, Team Structure, Roles &
- Responsibilities
- Role of a Technical Program Manager → Technical vs Non-Technical Orgs
- Domain Oriented Technical Program Managers (Infrastructure, EBI, Ops, Cyber Security,
- Mobile, Web, Backend etc.)
- Team Exercise – Skills for Successful Technical Program Management
Section 2: Technology in Technical Program Management
- Technical Capabilities of a TPM
- Fundamentals of High-Level System Design → Scaling (Vertical vs. Horizontal) Processing
- & Pre-processing, Queuing, Caching, Decoupling, Microservices, Load Balancing, Logging
- & Metrics, noSQL, Sharding etc.
- Low Level Design → Object Oriented Design, Design Patterns, Core Classes & Objects,
- Relationships, Methods etc.
- Building Large Scale Distributed Systems
- Technical Goals in a Program Lifecycle
- Team Exercise – Technical System Design Case Study
Section 3: Program Initiation (Requirements & Design)
- Problem Statement – Defining the Program Vision
- Pitfalls of Requirements (Agile & Waterfall) → Waterfall Too Much, Agile Too Little
- User-Centric Functional & Non-Functional Requirements
- Intrinsic & Extrinsic Technical Requirements & Architecture Design
- Three Ts of Program Planning → Team, Technology & Time (TTT)
- Scope Management & Common Program Mishaps
- Theory of Estimation → Relative & Absolute
- Political Management & Planning → Organizational Limitations,
- Cadence & Artifacts Delivery Set-up
- Team Exercise – Initiation of a Technical Program in a Non-Technical, Political Landscape
Section 4: Technical Program Execution
- Agile Sprints Execution
- Effective Communication within a Technical Program
- Measuring Team Performance & Technical Progress
- Responding to Program Management Bureaucracy
- Program Execution Pitfalls – DSU Fails, No Retros, No POs, No Testing in Sprints, Backlog
- Readiness, Vendor Management, Resource Sharing etc.
- Management of Technical Debt
- Technical Deployment Patterns, Roll-out & Release Management – Blue Green
- Deployments, Dark Launches, A/B Testing, Canary Releases, Feature Flags etc.
- Leading a DevOps, DevSecOps & Site Reliability Engineering Model
- Gaining Business Intelligence – Telemetry, TDD, HDD, Logging, Monitoring
- Team Exercise – Creation of a Robust Execution Structure across the SDLC
Section 5: Program Control & Reporting
- Controlling & Reporting at Different Levels of a Program – Team vs Line Management vs
- Senior Leadership
- Technical Metrics Gathering & Reporting – Code Coverage, Automation, Deployment
- Frequency, MTTR etc.
- People Performance & Program Management Metrics Reporting – Statuses, RAG etc.
- Reporting Frequency & Audience
- Strategic & Political Escalation
- Scaling, Expanding & Distributing the Technical Solution across the Organization
- Team Exercise – Metrics & Reporting at All Levels of a Program
Section 6: Case Study Program
- Technical Program Management Simulation
- Team Exercise – Designing a modern application microservice from initiation to technical
- execution, communication and reporting while dealing with challenges
Posted on June 23, 2025 by cprime-admin -
Part 1: Collaborative Product Framing
- Gain a common understanding of the who? what? and why?
- Establish goals and success measures for the product/product line and map those to corporate initiatives
- Identify the target market segments and design targets
- Identify and document market conditions
- Discuss and document strengths and constraints that will be leveraged or need mitigation plans
Part 2: Market Segment/Design Target Definition
- Prioritize identified target design targets or market segments
- Identify design target’s desired goals and outcomes
- Define how to measure success in meeting the needs of the design targets
- Develop pragmatic personas for 1-2 design targets
Part 3: Visualize Your Candidate Initiatives (Large and Small)
- Apply techniques for visualizing our opportunities for solving user problems. It might look like one or more of the following:
- Story, opportunity, or value stream mapping
- Affinity mapping
- Work in progress (WIP) mapping
- Discuss balance of market needs, buyer needs, user needs, and product needs (e.g. KLO or technical health)
Part 4: Techniques for Grouping and Sequencing Those Ideas – Affinity Mapping & Customer Journeys
- Discover horizontal paths through the experience or other logical groupings
- Identify areas with greatest need for minimal viable learning (MVL)
- Begin to order or “bucket” initiatives
Part 5: Roadmapping
- Relative sizing of initiatives
- Sequence based on cost/benefit analysis and release robustness
- Identify the MVP and subsequence release timing and form into a roadmap artifact
Posted on June 23, 2025 by cprime-admin -
Master the Fundamentals of Value Stream Mapping: Understand the core principles and concepts of Value Stream Mapping to identify inefficiencies and streamline processes.
Facilitate Effective Value Stream Workshops: Develop the skills to confidently conduct workshops, engage stakeholders, and guide teams through the Value Stream Mapping process.
Identify and Eliminate Waste in Processes: Learn to recognize workflow inefficiencies and apply Lean principles to reduce waste and enhance productivity.
Create Future State Value Stream Maps: Gain the ability to design optimized future state maps that highlight opportunities for process improvement and enhance value delivery.
Utilize Data-Driven Decision Making: Leverage metrics and performance data to guide decision-making, ensuring improvements are based on measurable outcomes.
Foster Cross-Functional Collaboration: Develop techniques to encourage teamwork and collaboration across departments, ensuring alignment and smooth coordination throughout the value stream.
Posted on June 20, 2025 by cprime-admin -
Delivering Value in Government
- Understand the concept of delivering value in a government context.
- Apply Agile principles to government acquisitions.
Evaluating Effective Agile Contracts
- Structure contracts that allow for adjustments and reprioritization throughout the product lifecycle.
Vendor Evaluation and Selection
- Create a plan for evaluating vendors effectively, focusing on capabilities rather than just proposals.
Monitoring Performance
- Identify key metrics to measure both the transformation and contractor performance in an Agile environment.
Pricing and Contract Types
- Explore various Agile-friendly contract types.
- Estimate the cost of an Agile Release Train (ART).
Overcoming Challenges
- Develop strategies to address common obstacles in Agile acquisitions and contracting.
Posted on June 20, 2025 by cprime-admin -
Supercharge Delivery:
- A fully engaged Business Owner brings clarity of vision, faster decision-making, and unwavering strategic alignment to each Agile Release Train.
Boost ROI:
- Understand how to focus on the highest-value work, apply lean portfolio principles, and reduce costly rework.
Enhance Collaboration:
- Learn how to align teams, stakeholders, and portfolios around concrete, shared objectives.
Sustain Momentum:
- Develop an environment where relentless improvement and innovative thinking become part of your organization’s DNA.
Posted on May 12, 2025 by Siddarthan Natarajan -
Learning is structured around key domains of Emotional Intelligence:
- Foundations of Emotional Intelligence
- Self-Awareness
- Self-Management
- Social Awareness
- Relationship Management
- Integration & Goal Setting