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AI Product Management Course

10 Weeks

·

Cohort-based Course

#1 Rated AI Certificate. Acquire the skills needed to confidently build AI products, positioning yourself for success in the AI world

Course overview

Acquire the skills & confidently build AI products and future proof your career

*Use code NEWYEAR25 at checkout to get $500 off or 25% off your enrollment. This is our biggest offer of the year, and it expires Sunday, Jan 12th.


**Limited-Time Offer: Enroll now and get complimentary access to Product Faculty’s top-rated Advanced Product Management training (a $4,995 value). Learn more about the included course here: https://maven.com/product-faculty/advanced-product-management-training/


Product Faculty, offering the #1 rated PM training for 8 years in a row and over 10K grads, is now on Maven!


👨‍💻 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗜𝗡𝗦𝗧𝗥𝗨𝗖𝗧𝗢𝗥


Miqdad Jaffer, a Product Leader at OpenAI, has 18 years of experience in building products at some of the world's most successful companies. Currently, he leads enterprise products at OpenAI and was previously the Head of AI Products at Shopify.


Miqdad is one of the world's top AI executives and an award-winning AI Product educator. His work on AI has been featured in TechCrunch, MIT’s AI Podcast, FastCompany, The Globe and Mail, and Spotify.


He has been listed as one of the top 100 people to follow in Artificial Intelligence by Business Insider and has received many other awards and accolades.


If you have any questions about the training, please reach out to me miqdad@productfaculty.com.



💡 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗢𝗨𝗥𝗦𝗘

This course is not just about learning; it's about doing. It’s an exercise-heavy training that goes beyond gaining "AI speak" to enhance your credibility and confidence to build AI Products and future proof your career. 

The live online sessions spread across four classes that will equip you with a comprehensive AI Product playbook. This playbook covers everything from AI use-case validation, product design, development, and delivery, to launch strategies, metrics, and growth. 

Learn from successful AI product features at leading companies like Shopify, Google, Klarna, and Amazon, and apply these insights in a capstone project where you'll build your own AI-powered feature.


Topics Covered (Amongst Others): 

• Taxonomy of Prompting Techniques

• Basic AI Concepts and Processes

• Training and Model Improvement

• Quality, Bias, and Interpretability

• Computational Concepts (Deterministic vs. Non-Deterministic)

• Qualitative vs programmatic evaluation 

• Model Customization Framework

• Types of AI Models and Applications

• Chain of Thought Prompting

• Self-Reflection & Self-Consistency

• ReAcT Prompting Framework

• Retrieval Augmented Generation (RAG)

• Fine-Tuning & RLHF

• Function Calling & Tool Usage

• LLM-Powered Agents

• LLM Evaluation & Judge LLMs

• AI Safety & Moderation Tools

• Adversarial Prompting (Jailbreaking and Prompt Injections)

• Common Real-World Use Cases of LLMs

• Understand Advanced Prompting Techniques 

• Zero-shot prompting

• Few-shot prompting/in-context learning

• Chain-of-Thought (CoT)


💡 COURSE PREREQUISITES

You should NOT take this course if:

* You work on non-software products (e.g. hardware, pharmaceuticals, deep climate tech, defense tech, etc.)

* You are not required to have a technical background but should be comfortable with and open to learning new technical concepts. We will guide you through setting up the OpenAI Playground environment.

* This course is challenging and will push you, but with dedicated effort, you’ll achieve results beyond your expectations.


💡 𝗔𝗕𝗢𝗨𝗧 PRODUCT FACULTY 

Product Faculty is one of the most recognized names in the PM training industry and has been around for over 8 years. At Product Faculty, we’ve trained and mentored over 10K product managers working at some of the leading companies in the world. Product Faculty’s training has some of the highest NPS (Net promoter scores in the industry with most classes having an NPS of 70+ (considered exceptional and reflect outstanding customer satisfaction). Product Faculty has been recognized as the top rated Product Management Bootcamp from the following organizations: 

> 2023 Course Reports - Best PM Bootcamp

> 2022 Course Reports - Best PM Bootcamp

> Career Carma - #1 Ranked PM Bootcamp

> CourseCompare - Best PM Bootcamp

> Switchup - Best Bootcamp


Reach out to miqdad@productfaculty.com for any questions, corporate trainings, and group/student discounts.


*Limited-Time Offer: Enroll now and get complimentary access to Product Faculty’s top-rated Advanced Product Management OnDemand training (a $4,495 value). Learn more about the included course here: https://maven.com/product-faculty/advanced-product-management-training/

Who is this course for

01

Ambitious Senior PM, GPM, and VP level product managers and leaders at startups and major tech firms.

02

Talented Product Managers, Designers, Engineers, and Data Scientists, Operations/Marketing folks who want to build AI products.

03

Founders, executives, managers who are responsible for product success but whose core expertise or experience lies outside of product.

What you’ll get out of this course

Solve Real Problems with AI

Clear, actionable processes for analyzing AI use cases and developing strategies towards tangible outcomes.

Build Real AI Prototypes

I’ll act as your personal innovation guide as you create functional AI applications, no prior coding experience needed.


Make Better, Data-Driven Decisions

Discover essential strategies for enhancing decision-making and using data to steer results in your professional and personal life.

Balance Automation with Oversight

Master the art of managing risks by blending automation with human oversight to maximize value from AI applications.

Master Retrieval Augmented Generation

Deepen your understanding of AI memory/context and Retrieval Augmented Generation (RAG) to enrich AI interactions.

Boost Data & AI Literacy

Gain a comprehensive understanding of crucial AI algorithms, concepts, and techniques to foster organization-wide knowledge.

Make your ideas irresistible:

Master the art of pitching your AI product ideas so clearly and excitingly that everyone's eager to jump on board.

Optimized for Busy Senior PMs

This intensive weekend course is tailored for professionals with weekday commitments, complete with recorded sessions for revisiting.

Lifetime Access to Product Faculty Community

Secure lifelong entry to our expansive alumni network for unparalleled opportunities, job connections, and continuous learning.

Future-Proof Your Career

Equip yourself with cutting-edge AI skills and insights to stay ahead in the evolving tech landscape, ensuring your career remains resilient and growth-oriented.

What’s included

Miqdad Jaffer

Live sessions

Learn directly from Miqdad Jaffer in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

7 live sessions • 32 lessons

Week 1

Apr 26—Apr 27

    Module 1: Welcome

    1 item

    Module 2: Fundamentals of AI

    4 items

    Module 3: Building AI Products

    1 item

    AI Capstone Project

    9 items

    Advance Capstone ( Agent SDK )

    1 item

    AI Build Labs

    4 items

Week 2

Apr 28—May 4

    May

    3

    Week 1 - QA & Capstone

    Sat 5/33:00 PM—6:00 PM (UTC)

    Week 1 - Case, Content & Capstone Q&A

    2 items

    Module 4: 4D Method — Discovery

    2 items

    Module 5: 4D Method — Design

    1 item

    Module 6: 4D Method — Develop

    1 item

    Module 7: 4D Method — Deploy

    1 item

Week 3

May 5—May 11

    May

    10

    Week 2 - QA & Capstone

    Sat 5/103:00 PM—6:00 PM (UTC)

    Week 2 - Case, Content & Capstone Q&A

    2 items

Week 4

May 12—May 18
    Nothing scheduled for this week

Week 5

May 19—May 25

    Module 8: Agentic AI

    1 item

Week 6

May 26—Jun 1

    May

    31

    Week 3 QnA & Capstone

    Sat 5/313:00 PM—6:00 PM (UTC)

    Week 3 - Case, Content & Capstone Q&A

    2 items

Week 7

Jun 2—Jun 8

    Jun

    8

    AI BUILD LABS - OPTIONAL

    Sun 6/83:00 PM—4:30 PM (UTC)

    Complimentary Capstone Support (Optional)

    0 items

Week 8

Jun 9—Jun 15

    Complimentary Capstone Support (Optional)

    0 items

    Jun

    15

    AI BUILD LABS - OPTIONAL

    Sun 6/153:00 PM—4:30 PM (UTC)

Week 9

Jun 16—Jun 22

    Complimentary Capstone Support (Optional)

    0 items

    Jun

    21

    AI BUILD LABS - OPTIONAL

    Sat 6/213:00 PM—4:30 PM (UTC)

Week 10

Jun 23—Jun 29

    Jun

    29

    AI BUILD LABS - OPTIONAL

    Sun 6/293:00 PM—4:30 PM (UTC)

Post-course

    Complimentary Capstone Support (Optional)

    0 items

Product Faculty Experience

What people are saying

        Product Faculty offers a great interactive learning experience that makes concepts stick, and outcomes happen.
Luke Shorts

Luke Shorts

Group Product Manager, Google
        Product Faculty's training helped me crystallize my knowledge and land an amazing new role.
Ammad Raja

Ammad Raja

Product Leader, Uber
        As an AI Product Manager, Product Faculty's program helped me to understand the end-to-end lifecycle of bringing successful products to life.
Joanna Hou

Joanna Hou

AI Product Manager, Meta
        Product Faculty's tools, tactics and frameworks allow you to not leave your product, and career success to chance.
Manoj Aggarwal

Manoj Aggarwal

Product Leader, Amazon

Meet your instructor

Miqdad Jaffer

Miqdad Jaffer

Product Leader at OpenAI, TechCrunch & MIT featured, Top 100 by Business Insider

Miqdad Jaffer, a Product Leader at OpenAI, has 18 years of experience in building products at some of the world's most successful companies. Currently, he leads enterprise products at OpenAI and was previously the Head of AI Products at Shopify.


Miqdad is one of the world's top AI executives and an award-winning AI Product educator. His work on AI has been featured in TechCrunch, MIT’s AI Podcast, FastCompany, The Globe and Mail, and Spotify.


He has been listed as one of the top 100 people to follow in Artificial Intelligence by Business Insider and has received many other awards and accolades.

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AI Product Management Course

Course schedule

4-6 hours per week

  • Saturdays

    9:30am - 3:30pm EST

    You'll have 5 hours of class split into two 2.5-hour modules. Each module consists of 60% lecture-style learning and 40% hands-on group exercises. Don't worry about missing a class—you can make up missed classes in a future cohort, and you'll receive the recordings right away.

  • Weekly 1:1 Coaching

    30 minutes / week

    You'll get weekly 1:1 coaching with a Product Coach of your choice. You can keep the same coach for the entire cohort or change them every week. Coaches are former executives from the best tech companies including Jennifer Liu (Sr. Director of Product, Google) & others.

  • Weekly Capstone Projects (Optional)

    3-5 hours per week

    The capstone project allows you to go through the end-to-end lifecycle of developing a major feature for a consumer company like Facebook, Google Maps, or Amazon, and present it in a product review meeting to the VP of Product at Shopify.

  • Optimized for very busy schedules of PMs / Execs / Managers.

    We will spend about 20 hours on the core course material plus about 6 hours on Q&A.


    Timings for each session have been chosen based on what works best for most product people in practice.


    Recordings for all modules will be made available for you to watch in your Maven account.

Free resource

Product Strategy Playbook

A step-by-step guide for Product Leaders on how to create a winning product strategy.

Download Free Playbook

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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AI Product Management Course