From April 2022 to April 2024, Indeed saw a 75-times increase in AI job postings, commanding 77% higher salaries on average than other occupations. Yet many qualified PMs struggle to make this transition—not because they lack product skills, but because they can't demonstrate understanding of AI's unique challenges.
This hands-on, 5-week program bridges that gap through:
- 10 live classes (90 mins each) with 10 Q&A sessions (30 mins each)
- Real-world case studies - Portfolio-building projects including custom GPT development
- AWS ML certification preparation with free mock exams
- Personalized Resume critique
This course is perfect for you if you are a PM or business leader seeking AI Product Management roles, wanting to future-proof your career, or needing to collaborate with AI teams.
This course is NOT for you if you avoid technical concepts, prefer theory over practice, or want a title without developing skills.
You'll walk away with: A compelling portfolio showcasing your AI product management capabilities to employers. You'll master frameworks for evaluating AI opportunities and implementing responsible AI practices. You'll develop the crucial ability to bridge technical and business worlds effectively, along with specialized go-to-market strategies tailored for AI products—skills that set you apart in this competitive field.
You'll also receive a digital certificate of completion to include in your portfolio and LinkedIn.
My 500+ graduates report an average 20% salary increase after working with me, with many landing roles at industry-leading companies.
Course Run Dates:
September 8th - October 8th, 2025 (Currently Enrolling)
Class Schedule:
MONDAYS & WEDNESDAYS: 5 PM - 7 PM PT.
Course Duration :
10 classes across 5 weeks, 90 mins class + 30 mins Q & A each.
2 Plans Available, From $600.00/week
1. Pre-Read Materials
2. Class 1: Introduction to Product Management for AI & ML
3. Assigned Project 1
4. Assigned Reading 01
5. Resources
6 .Survey: Getting To Know You
1. Class 2: Defining a Problem to Solve With AI
2. Assigned Project 2
3. Resources - Class 2
1. Class 3: Machine Learning
2. Assigned Reading
3. Assigned Reading 2
1. Class 4: Diving Deeper in AI for Computer Vision
2. Assigned Reading
3. Assigned Reading 2
1. Class 5: Diving deep into AI for speech, Text, and Audio
2. Assignment 3
3. Assigned Reading 1
4. Assigned Reading 2
5. Assigned Reading 3
1. Class 6: Agentic AI
2. Assigned Project 4
1. Class 7: Evaluating AI Systems
2. Assigned Project 5: Group Capstone Project
3. Assigned Reading 1
4. Assigned Reading 2
5. Assigned Reading 3
1. Class 8: Responsible AI & Ethics
2. Assigned Reading 1
3. Assigned Reading 2
4. Assigned Video
5. Assigned Reading 3
1. Class 9: Deploying AI
1. Class 10: Capstone Project Demo
2. Assigned Reading
Jyothi Nookula