What It is?

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Recorded live sessions wherein AI/ML expert teaching a real cohort of project, product, and agile leaders, with live case studies and Q&A woven through each class.

What will you get?

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You get the full experience of a live cohort, the questions, the pushback, the examples, without the scheduling commitment.

Watch on your own time, rewind any concept you missed, and revisit a session right before an interview.

Day 1: AI, Machine Learning & Deep Learning: Core Concepts Explained
What AI, ML, and deep learning actually mean and how they relate to each other.
Outcome: You can define these terms correctly under pressure, in any interview or meeting.

Day 2: ML vs LLM vs Agents: When to Use What
The real differences between ML, LLMs, and AI agents, and which one fits which business problem.
Outcome: You can recommend the right technology instead of defaulting to "let's use AI."

Day 3: ML, LLM, and Agents: Real-World Business Use Cases
How Amazon, Netflix, banks, and airlines use ML, LLMs, and agents in production today.
Outcome: A bank of concrete examples to cite in interviews, instead of vague answers.

Day 4: POC to Production: Managing AIML Projects End-to-End
How AI projects move from proof of concept to production and why 90% never make it.
Outcome: You can lead a project through that gap instead of watching it stall.

Day 5: Building an AIML-Ready Organization: A Project Manager's Guide
Who you need: data engineering, data science, ML engineering and how to make them work together.
Outcome: You can design and run a cross-functional AI workflow, not just sit in one.

Day 6: AIML Project Management: Interview Readiness and Crisis Scenarios
How to translate technical results into business language, and handle AI project curveballs in interviews.
Outcome: You walk into the interview room ready for any AI leadership question thrown at you.