Build AI Agents
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FAANG and Tier-1 PMs, AI/ML leads, and AI/ML engineers.
Foundations of Agentic AI, Multi-Agent Systems for Product Workflows, No-Code/Low-Code AI Development, Prompt Engineering, AI PRD Writing, RAG Implementation, LLM Integration, and End-to-End Capstone Projects.
13 weeks (8 weeks core content + 5 weeks domain-specific capstones)
3 Live Guided Projects, 2 Capstone Projects
Additional FAANG+ interview preparation for the Al-enhanced roles you'd apply for
Learn directly from FAANG+ experts, gaining practical insights and mentorship from industry leaders who are at the cutting edge of Agentic AI.
Master the full spectrum of Agentic AI, from foundational concepts to advanced, real-world applications—specializing in AI agent workflows and automation.
Designed for working PMs to master Agentic AI without disrupting work-life balance.
Apply AI in PM contexts like feature prioritization, product roadmap alignment, and competitive intelligence.
Apply your learning to real industry challenges, including fraud detection and security threat mitigation, through two guided projects and five capstone projects.
With an NPS of 55 and an average rating of 4.75+, our learners consistently praise our structured, hands-on approach to mastering Agentic AI.
Build a powerful AI agent without needing to write extensive code. Using n8n, a popular workflow automation tool, you’ll learn how to design an AI agent that can handle stock analysis, provide financial insights, and much more — all with minimal coding effort.
By leveraging n8n’s intuitive interface, you’ll integrate multiple services like Telegram, OpenAI, and Airtable to build an intelligent, scalable AI agent that automates tasks, analyzes data, and delivers real-time insights
Develop a real-world, multi-agent healthcare agents (HealthSense AI) using low-code tool like n8n automation platform. This is designed to help participants leverage the power of Large Language Models (LLMs) and no-code orchestration for building context-aware, modular healthcare workflows that directly address real patient and provider needs.
You will architect and deploy AI-powered agents without writing code, that can book doctor appointments, compare hospitals, route emergencies, and provide diagnostic recommendations. The skills you develop will prepare you to revolutionize healthcare access through scalable, intelligent automation.
Simplify data analysis by allowing users to generate insights from datasets using natural language inputs, eliminating the need for complex queries or coding. The system will integrate a robust data pipeline to load CSV files into an SQL database using the LangChain toolkit to connect with the database. The project utilizes SQL, Python, LangChain, and Streamlit, with plans to expand to other databases and BI tools.
Build a powerful AI agent without needing to write extensive code. Using n8n, a popular workflow automation tool, you’ll learn how to design an AI agent that can handle stock analysis, provide financial insights, and much more — all with minimal coding effort.
By leveraging n8n’s intuitive interface, you’ll integrate multiple services like Telegram, OpenAI, and Airtable to build an intelligent, scalable AI agent that automates tasks, analyzes data, and delivers real-time insights
Develop a real-world, multi-agent healthcare agents (HealthSense AI) using low-code tool like n8n automation platform. This is designed to help participants leverage the power of Large Language Models (LLMs) and no-code orchestration for building context-aware, modular healthcare workflows that directly address real patient and provider needs.
You will architect and deploy AI-powered agents without writing code, that can book doctor appointments, compare hospitals, route emergencies, and provide diagnostic recommendations. The skills you develop will prepare you to revolutionize healthcare access through scalable, intelligent automation.
Simplify data analysis by allowing users to generate insights from datasets using natural language inputs, eliminating the need for complex queries or coding. The system will integrate a robust data pipeline to load CSV files into an SQL database using the LangChain toolkit to connect with the database. The project utilizes SQL, Python, LangChain, and Streamlit, with plans to expand to other databases and BI tools.
Build an an AI-powered sales assistant that automates lead qualification, recommends furniture using real-time inventory, and delivers weekly sales insights for Oak & Ember Interiors. Using agentic workflows and grounded LLMs, it replaces manual processes with an accurate, scalable system that completes with human review, privacy guardrails, and measurable efficiency gains.
Build PRD Genie—an agentic AI assistant that turns meeting transcripts and notes into structured PRDs, epics, and user stories. Grounded in real inputs and designed with human review, it cuts documentation time and accelerates product delivery at NeuronForge.
Work on personal or professional projects of your choice. BYOP offers mentorship, structured guidance, and feedback to ensure projects are aligned with industry standards and best practices. It fosters creativity, innovation, and real-world problem-solving, enabling you to build impactful solutions. You will receive guidance on selecting the right tools and frameworks based on project requirements.
Build an an AI-powered sales assistant that automates lead qualification, recommends furniture using real-time inventory, and delivers weekly sales insights for Oak & Ember Interiors. Using agentic workflows and grounded LLMs, it replaces manual processes with an accurate, scalable system that completes with human review, privacy guardrails, and measurable efficiency gains.
Build PRD Genie—an agentic AI assistant that turns meeting transcripts and notes into structured PRDs, epics, and user stories. Grounded in real inputs and designed with human review, it cuts documentation time and accelerates product delivery at NeuronForge.
Work on personal or professional projects of your choice. BYOP offers mentorship, structured guidance, and feedback to ensure projects are aligned with industry standards and best practices. It fosters creativity, innovation, and real-world problem-solving, enabling you to build impactful solutions. You will receive guidance on selecting the right tools and frameworks based on project requirements.
FAANG+ Instructors to Train You 
FAQs
What is Agentic AI, and how is it different from traditional AI?
Agentic AI refers to AI systems that act as autonomous “agents” capable of reasoning, planning, and executing tasks independently or in collaboration with other agents. Unlike rule-based systems, these agents can orchestrate complex workflows using LLMs, adapt over time, and integrate with real-world tools—making them more powerful and practical for business and tech applications.
What are the practical applications of Agentic AI?
Applications of Agentic AI include:
What makes this course unique compared to general LLM or GenAI courses?
Unlike most courses that focus only on LLM usage or prompting, this one teaches end-to-end agentic system design, multi-agent orchestration, tool integration, and real-world deployment specifically for product management—all guided by FAANG+ instructors.
Do I need prior AI or ML experience to enroll in this course?
No, our Applied Agentic AI for PMs is designed to be accessible to a wide audience, including those with little to no background in coding or machine learning.
What kind of projects will I build in the course?
You’ll build 3 live guided projects and 2 capstone projects of your choice, such as a such as an AI-powered PRD generator, a sales lead optimizer, or your own custom idea—giving you portfolio-ready, real-world AI products.
How much time do I need to commit weekly?
The course runs for 13 weeks, with 30+ hours of live instruction and 15+ hours of live project work. Most PMs commit 10–12 hours per week while managing their full-time jobs.
Who are the instructors?
You’ll learn from current and former FAANG+ professionals and AI leaders who’ve built real Agentic AI systems. Instructors include GenAI leads, ML architects, senior engineers and AI product managers from Google, Amazon, and more.
What tech stack and tools will I learn?
You’ll get hands-on with 20+ cutting-edge tools including LangChain, AutoGen, LangGraph, CrewAI, Pinecone, ChromaDB, Streamlit, OpenAI APIs, Docker, Kubernetes, and more—used in production environments at top tech companies.
What support do I get during the course?
You get access to:
What happens if I miss a live session?
All live sessions are recorded and accessible on-demand. You can catch up anytime and even rewatch for revision.
Is there a payment plan?
Yes! We offer multiple financing options to make the course more accessible to working professionals.
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