The Non-Technical AI Tool Stack For Every Project Manager
In this lesson, you’ll learn the 4 AI tools every project manager should know—Microsoft Copilot, NotebookLM, Excel Agent, and Gamma/AI—and how each one strengthens alignment, decision-making, reporting, and execution without requiring technical skills.
- Learn how Copilot improves briefs, summaries, and align: Start projects with shared clarity and fewer delays.
- Learn how NotebookLM improves context and clarity: Keep all project info organized and easy to reference.
- Understand how Excel Agent highlights status and risks: Make quicker decisions with clearer visibility.
- See how Gamma produces fast, executive-ready outputs: Deliver polished updates in minutes, not hours.
2026-03-25 15:00
30 min
Business & financeAI
Justin Bateh PhD
Scheduled
If I Had to Prove AI Competence in 30 Days, I’d Build These
If your goal is credibility — not certificates — this session is for you.
We’ll break down three AI demos that signal real capability fast, and why they work.
- What you'll learn: High-leverage demos, why they show competence, scoping for speed, and how PMs build career capital with AI.
- Who it's for: PMs |
Career switchers |
Founders building credibility
- Outcome promise: You’ll leave with a clear plan for proving AI capability.
- Explore from Projects to Career Capital: This exact mindset is what we develop throughout the AI Builder Bootcamp.
2026-03-13 06:30
30 min
Leadership & careerAIInstructor
Dr Aki WijesundaraManu Jayawardana
Scheduled
Become the Project Manager Everyone Wants to Work With
You don’t earn trust with titles or charm, you earn it with proof. The fastest way to become the PM people want to work with is to deliver visible wins right away. In this session, you’ll learn five simple actions you can take on your very first day that cut confusion, show results, and establish credibility.
- Kill confusion in the kickoff.: Start by stating the project goal, success metric, and ownership on one clear page.
- Ship a tiny deliverable fast.: Close a small task today to show progress in hours, not weeks.
- Have the tough talk early.: Confront the biggest resistor directly, name their concern, and move forward.
- Show momentum with proof.: Send a short update on what’s done, what’s next, and what’s blocked.
2026-03-11 15:00
30 min
Business & finance
Justin Bateh PhD
Scheduled
Design AI Projects Recruiters Care About
Many AI projects look impressive on the surface but fail to signal real engineering or product skill. Recruiters look for clear problem framing, sound system design, and evidence of thoughtful tradeoffs, not flashy demos. This session breaks down how to scope AI projects, show real-world constraints, and present your work in a way that clearly communicates your decisions and technical judgment.
- How to choose AI project ideas that signal real skills: Learn how to select problems that demonstrate system thinking, not just model usage.
- How to scope projects to real-world constraints: Understand how to show tradeoffs around data quality, cost, latency, and failure modes.
- How to present AI projects clearly to recruiters: Learn how to document decisions, architecture, and outcomes in a way that’s easy to evaluate.
- How to avoid common portfolio anti-patterns: Identify project choices and presentations that look impressive but fail to differentiate.
2026-03-05 22:00
30 min
Leadership & careerAIInstructor
Dr Aki Wijesundara
Scheduled
From Product-Led Growth (PLG) to Progress-Led Trust (PLT)
AI products don’t grow because people use them once—they grow when people trust them enough to rely on them. Understanding Progress-Led Trust helps teams design for real progress and durable adoption in a world where traditional Product-Led Growth assumptions no longer hold.
- Why PLG Breaks in AI-First Products: Understand how Product-Led Growth was designed for predictable, observable user journeys—no longer the case with AI.
- The Shift: Product-Led Growth → Progress-Led Trust: Learn how growth in AI moves from optimizing usage to earning user confidence through felt progress.
- The Four Pillars of Progress-Led Trust: Identify the four experience pillars that determine whether users trust an AI product enough to rely on it.
- Applying PLT: Practical Audit: Learn a simple, repeatable method to assess trust gaps in your own AI product and prioritize what to fix.
- Closing: The New Growth Engine: See how progress-led trust compounds over time to drive retention, expansion, and defensible growth.
2026-03-04 20:00
45 min
Product
John Gusiff
Scheduled
Achievement Design Systems - HealthTech
Achievement systems shape how users experience progress. In HealthTech, poorly designed systems can create pressure or anxiety—while well-designed ones build confidence, trust, and long-term behavior change. This lesson teaches you a practical framework, the Achievement Design Canvas, for designing achievement systems.
- The Psychology Behind Achievement Systems: How progress, rewards, autonomy, social proof influence behavior —where trust & confidence matter more than excitement.
- The Achievement Design Canvas: Unpack the key components of achievement systems and how they create meaningful user experiences.
- A HealthTech Case Study Example: A step-by-step walkthrough of a HealthTech example, mapped directly to the Achievement Design Canvas.
- Common Mistakes & Best Practices: How to avoid over-gamification, streak anxiety, and misplaced rewards—and design for sustainable progress.
2026-03-04 20:00
45 min
Business & finance
John Gusiff
Scheduled
How to Talk to Engineers About AI-Without Sounding Clueless
AI collaboration breaks down when product and engineering speak different languages.
This session helps product leaders translate AI intent into technical conversations engineers respect.
- What you'll learn: Learn how engineers think, common PM mistakes, writing better AI requirements, and when to push vs step back.
- Who it's for: PMs |
Product leaders |
Non-technical founders
- Outcome promise: You’ll collaborate more effectively with engineering teams.
- Mastering AI Interactions: This communication layer is a huge part of the AI Builder Bootcamp.
2026-02-26 22:00
30 min
ProductAIInstructor
Dr Aki WijesundaraManu Jayawardana
Scheduled
How AI Can 10x Your Project Delivery Speed
Learn how top leaders use AI to set clearer direction, streamline decision-making, and remove execution friction—without getting lost in technical tools. You’ll walk away with a real example of how modern managers apply AI to lead smarter, align teams faster, and drive results with far less chaos.
- Identify where AI strengthens decision-making and alignment: Make faster, clearer calls with fewer delays.
- Understand how AI to clarify priorities & remove bottlenecks: Keep work moving smoothly without constant oversight.
- Learn about the top AI tools and how PMs are using them now: Know what works today so you can lead with confidence.
2026-02-24 16:00
30 min
Business & financeAI
Justin Bateh PhD
Scheduled
Designing ethical AI systems: A hands-on workshop
As AI adoption accelerates, ethics can’t remain theoretical. This workshop empowers teams to embed responsibility into design and architecture from day one—helping organizations build AI systems that are not only effective, but trustworthy, fair, and sustainable.
- Applied Ethical Frameworks: Learn a structured, repeatable process for mapping ethical risks to system design decisions.
- Spotting Hidden Risks Early: Identify potential harms in data use, inclusivity, and power imbalance before they reach production.
- Design Changes for Trustworthy AI: Translate ethical insights into technical and architectural improvements for your current or future projects.
2026-02-20 15:00
45 min
Data & engineeringAIInstructor
Lena ShakurovaAmir Feizpour
Scheduled
Design Production AI Deployments - Beginner Friendly
Shipping AI systems to production takes more than a strong model. Teams must manage versioning, failures, monitoring, and cost constraints that don’t appear in prototypes. This session covers the practical steps to move from experiments to production deployments, ship changes safely, and design AI systems that stay reliable as usage grows.
- How to move AI features from prototype to production: Learn the steps required to deploy AI systems reliably beyond local demos.
- How to manage versions, rollouts, and rollbacks: Understand how to ship changes safely using prompt versioning, feature flags, and staged releases.
- How to handle failures and edge cases in production: Learn how to design fallbacks, monitor behavior, and respond when AI systems break.
- How to reason about cost and reliability tradeoffs: Understand how deployment decisions affect latency, spend, and system stability.