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 concepts. We will guide you through setting up the OpenAI Playground environment.

💡 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.