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Gen AI for Enterprise Agilist

Become a 10X Enterprise Agilist with Generative AI

Unlock the power of Gen AI in your day-to-day to accelerate Agile at scale.

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Gen AI for Enterprises
  • 450K+
    Career Transformations
  • 250+
    Workshops Every Month
  • 100+
    Countries

Generative AI for Enterprise Agilist Highlights

Course Highlights

30+ Hands-On Activities based on Transformation Use Cases

16-Hour Live Instructor-Led Sessions, with 70–80% Hands-On

Earn 16 PDUs and SEUs aligned with Agile and AI leadership

4 Enterprise-Scale Projects on AI-driven planning & automation

200+ AI Prompts for Agile teams, Programs, and Portfolios

AI-Integrated Workflows across the Agile development lifecycle

Real-World Simulations on Distributed Agile Environments

Interactive Labs with ChatGPT, Julius.AI, Zapier and more

Learn the tools to drive strategic alignment, streamline Agile planning, automate coordination, and enhance decision-making across portfolios, programs, and Agile teams. The Gen AI Course for Enterprise Agilists is designed to empower transformation leaders, product owners, release managers, and Agile coaches with the skills to integrate Generative AI into their organizational agility journey.

This course is a rigorous, 16-hour hands-on program designed to help agile professionals integrate Generative AI into large-scale agile environments. Built for those working across the enterprise—from lean portfolio practitioners to agile release leads—this course offers tactical and strategic ways to embed AI into planning, coordination, backlog management, reporting, and transformation efforts.

Participants will work with cutting-edge tools like ChatGPT, Julius.AI, Zapier, and JIRA, applying them in real-world scenarios such as automating backlog refinement, crafting OKRs, prioritizing epics, orchestrating team syncs, and building agile roadmaps with AI assistance. The course emphasizes automation, efficiency, and cognitive relief, helping leaders shift from firefighting to foresight.

Through deep-dive exercises, frameworks, and role-aligned use cases, learners will leave with tangible skills to enhance value delivery, improve agility metrics, and lead AI-assisted transformations—without disrupting existing workflows.


Why KnowledgeHut for Generative AI Training

The KnowledgeHut Advantage

Comprehensive Curriculum

Structured modules covering fundamental and advanced concepts of Generative AI in Agile.

Immersive Learning

Learn, practice, gain insights and apply Gen AI skills to drive change and unlock new possibilities.

Interactive Experience

Engage with peers and instructors through forums and discussion boards.

Practical Use Cases

Analyze and learn from real-world case studies and success stories.

Feedback and Assessment

Receive personalized feedback on assignments and projects.

Networking Opportunities

Connect with fellow course graduates and professionals in the field.

Explore our Schedules

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Gen AI Projects for Enterprise Agilist

Build a Stellar Gen AI Project Portfolio
Bridge the gap between theoretical knowledge and practical application by building real-world projects that reflect real-world transformation scenarios. By working on these projects, you'll not only deepen your understanding of Generative AI but also enhance your problem-solving skills and creativity.
AI-Augmented PI Planning
AI-Augmented PI Planning

AI-Augmented PI Planning

Automate planning, maximize clarity
Streamline PI planning with GenAI to draft objectives, visualize dependencies, and generate risk-mitigated program boards.
Read More
Smart Dependency and Risk Management
Smart Dependency and Risk Management

Smart Dependency and Risk Management

Predict delays and proactively resolve
Utilize generative AI to map feature-to-team assignments, visualize and analyze inter-team dependencies, simulate potential bottlenecks or delays, and generate effective mitigation strategies to support proactive planning and smooth execution.
Read More
AI-Enhanced Inspect and Adapt Workshop
AI-Enhanced Inspect and Adapt Workshop

AI-Enhanced Inspect and Adapt Workshop

Data-driven continuous improvement
Leverage AI to analyze retrospectives, identify ART-level improvements, and create actionable I&A summary decks.
Read More
GreenGrocer
GreenGrocer

Intelligent Portfolio-Level Reporting

AI-curated executive insights
Simulate portfolio summaries, forecast risks, and generate executive dashboards for a digital healthcare platform.
Read More
Scaling project
Scaling Agile

GenAI Strategy for Enterprise

Scalable AI Adoption in SAFe
Roadmap for AI-powered Agile transformation at scale including upskilling, governance, compliance, and change management.
Read More

Gen AI for Enterprise Agilist Course Curriculum

Curriculum

1. Introduction to Generative AI in Agile Leadership

Learning Objectives:

  • Understand the basics of generative AI and its relevance to Agile.
  • Identify practical applications and benefits of AI in Agile environments.

Topics:

Explore the fundamentals of generative AI and its transformative impact on Agile leadership, collaboration, and delivery. Get hands-on with leading AI tools and real-world Agile use cases.

2. AI in Lean Portfolio Management

Learning Objectives:

  • Apply AI to define strategic themes, prioritize initiatives, and create business cases.
  • Utilize AI tools to enhance portfolio-level planning and alignment.

Topics:

Learn how AI streamlines strategic planning, value stream mapping, and business case development in Lean portfolio management. Experience AI-driven prioritization and decision-making.

3. AI-Driven Program Backlog Management and PI Planning

Learning Objectives:

  • Use AI to automate and optimize backlog management and PI planning.
  • Generate features, estimate values, and identify risks with AI-powered tools.

Topics:

Master the use of AI to automate backlog grooming, feature creation, estimation, and risk identification for more effective PI planning. Experience hands-on automation of Agile program workflows.

4. AI for Agile Coordination and Syncs

Learning Objectives:

  • Employ AI to monitor progress and manage dependencies in Agile teams.
  • Use AI-driven insights to quickly resolve blockers and improve coordination.

Topics:

Discover how AI can streamline Agile coordination by tracking progress, identifying dependencies, and resolving impediments. Leverage AI insights to enhance team synchronization.

5. AI-Powered Sprint Planning

Learning Objectives:

  • Break down tasks and plan sprints efficiently using AI.
  • Utilize AI integrations for capacity-aware and goal-driven sprint planning.

Topics:

Harness AI to optimize sprint planning through automated task breakdown, capacity planning, and goal setting. Integrate AI with popular tools for smarter, faster planning.

6. AI in Daily Stand-ups and Team Syncs

Learning Objectives:

  • Automating Daily Updates with AI
  • Identifying Blockers via AI
  • Summarizing Team Health with AI Tools

Topics:

7. AI in Inspect and Adapt Workshops

Learning Objectives:

  • Facilitate AI-enhanced retrospectives and root cause analyses.
  • Use AI to identify improvement opportunities and predict performance trends.

Topics:

Enhance retrospectives and continuous improvement workshops with AI-driven analysis, root cause identification, and performance forecasting. Drive actionable improvements with data-backed insights.

8. AI for Agile Product Ownership

Learning Objectives:

  • Generate and refine user stories and requirements with AI.
  • Apply AI to split stories and define acceptance criteria efficiently.

Topics:

Empower product owners to write user stories, acceptance criteria, and non-functional requirements more effectively using AI. Streamline backlog management and story splitting with AI prompts.

9. Metrics and Dashboards with AI

Learning Objectives:

  • Create and visualize Agile metrics and dashboards using AI.
  • Employ AI for predictive analytics and quality enhancement.

Topics:

Leverage AI to generate actionable OKRs, KPIs, and visual dashboards that drive Agile team performance. Use predictive analytics to enhance quality assurance and forecast trends.

10. Workflow Automation

Learning Objectives:

  • Integrate AI into workflow tools to automate Agile processes.
  • Use automation to reduce manual effort and increase team efficiency.

Topics:

Automate Agile workflows by integrating AI with tools like Jira, Asana, and Zapier for seamless operations. Streamline repetitive tasks and boost productivity with AI-powered automation.

11. AI for Agile Transformation Roadmap

Learning Objectives:

  • Assess Agile readiness and design transformation strategies with AI.
  • Define governance, guardrails, and communication plans using AI tools.

Topics:

Apply AI to assess Agile maturity, design transformation roadmaps, and establish governance for successful Agile adoption. Use AI insights to craft effective communication and team structures.

12. Ethical AI Use and Future Trends in Agile

Learning Objectives:

  • Understand ethical, privacy, and governance considerations for AI in Agile.
  • Explore emerging trends and prepare for the future of Agile with AI.

Topics:

Examine the ethical implications, governance, and future trends of AI in Agile environments. Learn to identify and mitigate bias while preparing for next-gen Agile+AI integration.

Generative AI for Enterprise Agilist Learning Path

Your Path to Becoming an AI-Powered Enterprise Agilist
Learn
through live interactive instructor-led sessions by experts.
Master
industry-leading AI tools for enterprise-wide transformation.
Apply
200+ AI prompts tailored for daily enterprise transformation activities.
You're an AI-Powered Agilist!
Congrats on becoming an AI-powered Transformation Leader!
Steps to get Gen AI powered!
Study
a comprehensive curriculum curated for Enterprise Agilists.
Practice
with 30+ hands-on exercises and 4 enterprise projects .
Get Hands-On
with real-world use cases, simulations, and personalized feedback.

This Generative AI for Enterprise Agilists program is designed to empower transformation leaders, product owners, release managers, and Agile coaches with the practical skills to integrate Generative AI across the Agile enterprise. Whether you aim to accelerate strategic alignment, optimize planning processes, automate coordination, or elevate decision-making, this hands-on program delivers real-world experience with cutting-edge AI tools and frameworks.

1. Learn through 16-Hour Comprehensive Instructor-Led Sessions by Experts

  • Engage in 16 hours of live, expert-led sessions with 70–80% hands-on activities, ensuring immediate application of concepts in real Agile scenarios.
  • Deep dive into the intersection of Generative AI and enterprise agility, learning how to leverage AI for strategic planning, team coordination, and transformation leadership.

2. Study a Curriculum Tailored for Enterprise-Scale Agile Transformation

  • Explore a curriculum built around 30+ hands-on activities and 4 enterprise-scale projects, each mapped to real transformation use cases.
  • Master the integration of AI-driven workflows across the Agile development lifecycle, from portfolio strategy to program execution and team delivery.

3. Master Industry-Leading AI Tools for Agile Teams and Portfolios

  • Gain hands-on experience with ChatGPT, Julius.AI, Zapier, JIRA, Mural, and more—tools that power AI-driven planning, automation, and reporting in distributed Agile environments.
  • Build proficiency in embedding AI into backlog refinement, OKR creation, epic prioritization, risk management, and Agile roadmapping.

4. Practice with 30+ Hands-On Activities and 4 Enterprise Projects

  • Reinforce learning through interactive labs and real-world simulations, automating workflows and solving transformation challenges with AI.
  • Complete enterprise-scale projects that deliver tangible outcomes in AI-assisted Agile planning, coordination, and reporting.

5. Apply 200+ AI Prompts Tailored to Daily Business Analysis Activities

  • Unlock a library of 200+ AI prompts designed to accelerate Agile documentation, automate routine tasks, and enhance decision-making at every level of the enterprise.
  • Learn to tailor AI prompts for your unique team dynamics, portfolio needs, and organizational objectives.

6. Access Real-World Use Cases, Simulations, and Personalized Feedback

  • Study and practice with real-world simulations on distributed Agile environments, understanding how AI solutions drive transformation at scale.
  • Receive direct feedback and mentorship from instructors, ensuring you can confidently apply AI in your organizational context.

7. You are Now an AI-Powered Enterprise Agilist!

  • Earn 16 PDUs and SEUs aligned with Agile and AI leadership, validating your expertise in AI-powered enterprise agility.
  • You are now a forward-thinking AI-Powered Enterprise Agilist, ready to champion AI integration, drive enterprise transformation, and future-proof your organization.

By the end of this Generative AI for Enterprise Agility course, you’ll be equipped to lead, automate, and innovate across portfolios, programs, and Agile teams—delivering more value, faster, with the power of AI.

What You'll Learn in the Generative AI Course

Learning Objectives
1
Strategy and Execution

Apply Generative AI to enhance portfolio-level strategy, program planning, and team execution across enterprise agility layers.

2
Backlog Automation

Leverage AI tools for automating backlog refinement, prioritizing initiatives, and drafting business cases with speed and precision.

3
Tool Integration

Integrate AI with tools like JIRA, Mural, Trello, and Zapier for improved coordination, reporting, and flow-based delivery.

4
Risk Identification and Roadmapping

Use Gen AI to detect and resolve dependencies, identify risks, and generate agile transformation roadmaps with data-backed insights.

5
Predictive Performance

Enable predictive team and program-level performance tracking, quality improvements, and cross-team alignment through AI-powered dashboards.

6
Ethical AI Use

Navigate the ethical use of AI in enterprise delivery contexts, including bias mitigation, governance, and responsible deployment of Gen AI in Agile environments.

Prerequisites for Generative AI for Enterprise Agilist Course

Prerequisites and Eligibility
  • Familiarity with Agile frameworks (Scrum, Kanban, SAFe)
  • Experience of working across multiple agile teams or programs
  • Exposure to program/portfolio-level agile planning
  • Experience in stakeholder communication and alignment
  • Basic understanding of Gen AI tools like ChatGPT
  • Familiarity with JIRA, Confluence, Trello, Mural, etc.
  • Involvement in Agile transformation or process improvement
  • Interest in using AI to boost Agile delivery outcomes
Prerequisites and Eligibility

Who can attend the Generative AI for Enterprise Agilist Course

Who This Course Is For?
  • Agile Coaches
  • Transformation Leaders
  • Product Managers
  • Release Train Engineers
  • Portfolio Managers
  • Program Managers
  • Product Owners
  • Agile Delivery Leads
  • Scrum Masters
  • Business Stakeholders
  • Technology Stakeholders
Who Should Attend

Gen AI for Enterprise Agilist Certification

Achieve an Industry-Endorsed Certificate

Showcase your skills and understanding of scaling Agile at an enterprise level with the help of Generative AI. Earn a certificate of completion and get ready to stand out in the competitive job market armed with the latest skills in the industry.

Gen AI Certificate for Enterprise Agilist
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Ready to unlock your full potential with AI as an Agilist?

Generative AI for Agilists Course FAQs

Frequently Asked Questions
Gen AI Training

1. What can I accomplish after completing this course with upGrad KnowledgeHut?

The Gen AI course for Enterprise Agility course is designed with the purpose of arming the learner with all the necessary AI tools in scaling Agility across a modern enterprise. The training is packed with exercises and projects that will help the learners understand how to practically apply their newly acquired skills.

2. What practical skills can I expect to have after completing this course?

The Gen AI course for Enterprise Agility has been divided into twelve modules that cover a vast range of AI topics including numerous exercises and activities. As a result of this training, you will be able to :

  • Apply Generative AI to enhance portfolio-level strategy, program planning, and team execution across enterprise agility layers.
  • Leverage AI tools for automating backlog refinement, prioritizing initiatives, and drafting business cases with speed and precision.
  • Integrate AI with tools like JIRA, Mural, Trello, and Zapier for improved coordination, reporting, and flow-based delivery.
  • Use Gen AI to detect and resolve dependencies, identify risks, and generate agile transformation roadmaps with data-backed insights.
  • Enable predictive team and program-level performance tracking, quality improvements, and cross-team alignment through AI-powered dashboards.
  • Navigate the ethical use of AI in enterprise delivery contexts, including bias mitigation, governance, and responsible deployment of Gen AI in Agile environments.
  • Develop a mindset of continuous learning and adaptation, to stay Agile in the rapidly evolving landscape of AI and product ownership.
  • Become a catalyst for AI-driven transformation within your organizations, by advocating for and implementing AI initiatives that enhance overall business performance.
  • Become a part of a community that can collaborate, share insights, and support each other in leveraging Generative AI to achieve business goals.

3. What are the prerequisites for the Gen AI for Enterprise Agility course?

Following are the prerequisites that are recommended for a learner to benefit the most from this program:

Agile Experience Across Scales 

  • Agile Framework Familiarity: A working understanding of Agile principles, including frameworks like Scrum, Kanban, or scaled agile variants (e.g., ARTs, PI Planning, Lean Portfolio Mgmt). 
  • Cross-Team Collaboration Exposure: Hands-on experience working across multiple agile teams, programs, or portfolios. 

Strategic and Operational Awareness 

  • Program & Portfolio Perspective: Familiarity with Agile planning at the program level (features, capabilities, release planning) or portfolio level (epics, value streams). 
  • Stakeholder Interaction: Experience communicating with diverse stakeholder groups (tech, product, ops) for alignment, reporting, or roadmap planning. 

AI and Tooling Readiness 

  • Basic Generative AI Knowledge: General awareness of Gen AI applications like ChatGPT, with interest in how it can assist decision-making, planning, or coordination. 
  • Comfort with Agile Tools: Prior use of JIRA, Confluence, Trello, Mural, or other agile collaboration and planning platforms. 

Leadership Mindset 

  • Change Leadership Exposure: Professionals who’ve played a role in process optimization, agile transformation, or continuous improvement efforts at any level. 
  • Growth Orientation: A desire to explore AI as a strategic enabler for enhancing speed, alignment, and quality in agile delivery. 

4. What next after the Gen AI training? 

Gen AI is an emerging technology, and you should try to keep yourself updated about the new developments. You can improve your skills as a professional skilled in scaling Agile by getting certifications like Leading SAFe, SAFe Practice Consultant (SPC) etc.

5. Do you provide a course completion certificate?

Yes, you will receive a certificate from upGrad KnowledgeHut on the successful completion of this workshop. The trainer will ensure that you have acquired the skills and knowledge through a combination of training and exercises.

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