Agentic AI

Coding with AI

AI Evals

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product

User Research

Prototyping

Growth

Strategy

Influence

Leadership

Career Growth

Engineering

Machine Learning

Security

System Design

Design

Figma

Design Systems

Design Strategy

Marketing

Content Marketing

Go-to-Market

Product Marketing

B2B Marketing

AI for Leaders

Communication

Management

Storytelling

Founders

More

Everyone

Operators

Data Scientists

User Researchers

Project Managers

Sales People

Lawyers

Finance

Investors

Real Estate

Build the skills to apply AI to your real projects starting this week.

CEO @ Projects Right

Microsoft

Amazon

Chevron

McKesson

Medtronic

Justin Bateh, PhD

Top Recognized Maven Instructor |  200+ alumni | 8x Teaching Awards 

Cohort 8

Cohort 9

Half your week disappears into updates, status reports, follow-ups, and coordination that AI should be handling for you.You're not behind. You're just missing the system.🔧 𝗧𝗵𝗲 Framework In 4 weeks, go from AI-curious to using AI on your real projects every day. You'll use the proven User → Builder → Designer → Operator model on your real projects. No coding. No fluff.🤖 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗕𝘂𝗶𝗹𝗱 AI agents &amp; agentic workflows that handle your status reports, flag risks, and keep follow-ups moving.💰 𝗣𝗿𝗼𝘃𝗲𝗻 &amp; 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝗲𝗱 Same frameworks taught in $7,000+/day corporate engagements. Built from 80+ real projects. Earn 21 PDUs toward PMI renewal ($600+ value).🏢 𝟮𝟬𝟬+ 𝗔𝗹𝘂𝗺𝗻𝗶 From Microsoft, Amazon, Medtronic, and Chevron. They stopped drowning in admin and started using AI on real projects.The ones who move now will lead what comes next.*This is an applied course that teaches how to use AI as a project manager, not how to build AI systems. The focus is practical application: prompting, agents, workflows, automation, and agentic systems you can deploy on real projects. It is not a technical AI, systems engineering, or machine learning course.

Maven's #1 Applied AI for Project Management Course | 200+ alumni | 4.8 Rating

How to Start Using AI on Real Projects This Week

 How to Get AI Doing Real  Project Management Work

How to Build Project Workflows That Don't Fall Apart

How To Use Agentic AI To Automate Project Work

How to Turn This Course Into Career Momentum

How to Apply Everything to Real Work, Real Teams, Real Deadlines

This is a practical course. You don't need coding skills or AI experience. Just a laptop and willingness to learn.

No Technical Background Needed

You should be managing or contributing to projects at work. This course builds AI skills on top of PM fundamentals.

Basic Familiarity With Project Management


Every week includes hands-on exercises. You'll get the most out of this course by building, not just watching.

Willingness to Learn by Doing

Project &amp; Program Managers You're drowning in updates and chasing people. This gives you agents that do that work for you every week.

Directors &amp; Operations Leaders You're accountable for delivery across teams. This gives you AI tools that surface what matters fast.

Accidental PMs You don't have the PM title, but you manage projects without formal tools. This gives you the AI skills to lead them.

Understand why AI raises the bar for BAs, define role value in an AI context, and describe your role and value to others.

BA-Cube Founder | LinkedIn Instructor

Angela Wick

25+ years practicing, shaping, and teaching analysis, product, and requirements.

The Business Analyst Role in the Age of AI

Everyone's role is changing, especially in software and projects. AI is seemingly collapsing roles, or is it changing the roles and tasks? AI introduces ambiguity, probabilistic behavior, and continuous decision-making into systems designed for certainty. This course exists to answer a foundational question:What is the Business Analyst responsible for when AI changes how work gets done, and what analysis is needed for AI projects and AI Agents?This course focuses on role clarity. You will examine how AI changes productivity expectations, teaming, and the SDLC, and analysis tasks needed for AI projects, integration/automation, and Agentic AI.This course is designed to reshape how you think about your role before you learn execution mechanics.

Reframing the BA role for AI-enabled organizations

Why AI increases the need for business analysis rather than reducing it

Which BA tasks AI can take over and which responsibilities cannot be automated

Common role collapse patterns in AI initiatives

How AI breaks phase-based SDLC thinking

How to explain BA value as integration, judgment, and accountability

Business Analysts, Product Owners, Business Systems Analysts, Systems Analysts, Business Process Analysts, and similar roles.

BA Leaders redefining roles for AI-enabled teams

Professionals pulled into AI initiatives without clear accountability

Students will learn the AI literacy to evaluate AI ideas, surface risk, and make sound judgments without becoming technical specialists.

AI Literacy for Business Analysts

AI risk often comes from poor assumptions about what AI can and cannot do. It also comes from poor analysis and organizational dynamics of leaders asking for solutions and pressuring teams to deliver solutions rather than solving real problems.Analysis professionals have a huge role in this dynamic that can change everything!Analysts are increasingly expected to participate in AI decisions, yet most training focuses on tools or stays abstract. This course fills the gap in understanding AI capabilities: Not from a technical point of view, rather a capability point of view; business uses and patterns of functional usage.You will build a grounded understanding of AI capabilities, limits, patterns, and failure modes, and learn how requirements shift toward hypotheses, experiments, and continuous outcomes in AI-enabled work.This course explores the skills of:🎯 Identifying the right AI use cases for specific business scenarios🎯 Distinguishing between deterministic and probabilistic systems and deciding where each should be applied in a workflow🎯 Questioning and communicating AI use case fit and risks—and defining clear hypotheses for AI solutions

Giving BAs AI Literacy to Understand, Evaluate and be Accountable for AI 

Major AI capability types and their appropriate uses

GenerativeAI is just one piece of AI, and much more than "chat".

What AI is good at and where it fails

Generative AI and its Data Sources (Public vs. Private)

How requirements shift to hypotheses and experiments

Where humans must remain accountable in AI-enabled systems

Analysts, Project Managers, Business Leaders and others involved in AI discussions or initiatives

Analysis Leaders responsible for AI-related risk

Analysts who want confidence without pretending technical expertise

Learn how to redesign end-to-end processes so AI strengthens your organization instead of fragmenting it.


AI-Enabled Systems & Process Design

Most AI initiatives focus on tools and tasks.Few redesign the process and/or system.When AI is inserted into broken or unclear processes, the result is:<ul><li>More exceptions</li><li>Hidden ownership gaps</li><li>Unclear escalation</li><li>Fragile automation</li><li>Accountability confusion</li><li>Scaling nightmares</li></ul>This means increased cost and unhappy customers!AI changes how systems behave. We must design coherent processes with the end-to-end in mind.That means intentionally aligning:<ul><li>Users and their scenarios</li><li>User experience and workflows</li><li>Business rules and policies</li><li>Data flows</li><li>AI guidance, guardrails, governance, and performance measures</li></ul>Business analysis is the skill set, mindset, and discipline that brings all of these elements together—integrating them into coherent solutions that deliver real business value.

Design AI-Enabled Business Systems That Actually Work

Differentiate embedded AI, automation, and agentic AI in end-to-end processes.

Analyze an end-to-end business process that includes AI components

Clarify ownership and decision accountability

Define, Design, and Build human checkpoints into AI workflows

Facilitate decisions about AI in the organization

Senior Business Analysts / Lead BAs

Product and Transformation Leads / BA Consultants

BA Managers modernizing delivery models

Learn how to redesign your BA workflow so AI increases your speed while preserving traceability, judgment, and risk control.

AI-Accelerated Business Analysis

AI makes Business Analysis faster. It does not automatically make it better!AI is evolving fast, and so are the analysis practices we need to keep up with.In an AI age, business analysis needs to balance speed and discipline. You need the skills to ensure you are not using AI just for speed while sacrificing the structure and discipline needed to get impactful results!Without structure, AI-assisted work introduces:<ul><li>Hidden logic gaps</li><li>Overconfidence bias</li><li>Loss of traceability</li><li>Increased risk of downstream defects</li></ul>This course shows you how to integrate AI into your everyday analysis work deliberately and safely. We will dive deep into AI to augment your analysis capabilities, increase your speed, and ensure your quality and value are not sacrificed.This is not a prompt class.This is a AI-enabled Business Analysis accelerator. Build the skills to evolve continuously as AI evolves and keep your business analysis practices evolving as well.This course does not provide a set of tools or processes; we acknowledge that AI is changing rapidly, and we focus on skills to leverage AI so that you can evolve more easily as AI and your organization evolves.

Accelerate Your Bus Analysis With AI Without Sacrificing Quality/Accountability

Discover how AI can help with analysis tasks

AI as your analysis assisstant

Validate and QA AI-generated analysis outputs

Explore a variety of common and specialized AI tools as they perform anaysis

Practicing Business Analysts using AI in their daily work

Senior BAs looking to modernize their workflow

Consultants who need defensible AI-assisted outputs

Learn how to define task autonomy, decision thresholds, guardrails, and human override in agent-enabled systems.

Agentic AI Skills for Business Analysts

Agentic AI changes the game because AI can autonomously act. It can initiate actions, make decisions, and operate across workflows with increasing autonomy. Risk escalates, and so does opportunity! Without deliberate, disciplined, and structured analysis, agents act on incomplete logic, unclear boundaries, and undefined escalation paths. That is where exposure multiplies. This course matters because Business Analysts are uniquely positioned to define autonomy limits, decision thresholds, guardrails, and monitoring structures before agents scale. It equips you to design control into autonomy, so AI-driven systems remain accountable, coherent, and aligned with business intent rather than becoming fragile at scale.AI is moving beyond assistance. Agents can:<ul><li>Initiate actions on their own</li><li>Make decisions</li><li>Trigger workflows</li><li>Operate continuously</li></ul>This changes the role of Business Analysis.When agents act without clearly defined:<ul><li>Goals</li><li>Boundaries</li><li>Escalation rules</li><li>Monitoring thresholds</li></ul>Organizations lose control.This course teaches how to design and govern agent behavior responsibly.

AI for Project Managers

Cohort-based courses

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