Master Agentic AI: A Product Leader's Guide

What you will learn:

Grasp the core principles of Agentic AI and its distinction from conventional AI and LLMs.
Distinguish between various agent types, tools, memory systems, and design patterns.
Navigate the dynamic landscape of the Agentic AI ecosystem (LangGraph, BeeAI, CrewAI, etc.).
Identify compelling opportunities for integrating Agentic AI into product management and team operations.
Design both straightforward and intricate agent workflows using orchestration tools.
Craft a practical, risk-mitigated, and scalable adoption roadmap for Agentic AI.

Description

Lead the AI revolution in product development! This course empowers product managers, tech leads, and strategists to leverage the transformative potential of Agentic AI without needing coding skills. Discover how autonomous AI agents, such as AutoGPT and LangChain, can revolutionize your workflows.

Dive into practical, non-technical strategies for understanding, evaluating, and implementing Agentic AI. Uncover the core components of agent design – tools, memory, goals, and the critical process of reflection. Explore various agent design patterns, from single-shot to complex multi-agent systems, and learn how to choose the right architecture for your needs.

We'll guide you through the leading Agentic AI ecosystem, including LangGraph, BeeAI, CrewAI, and Autogen. You'll master tool execution using plugins, APIs, and MCPs, and discover no-code/low-code platforms for streamlined agent development. Explore diverse application scenarios, from automating internal research and data synthesis to creating innovative customer-facing agents for support and onboarding.

This comprehensive course includes practical frameworks like the Use Case Canvas, helping you identify and prioritize high-impact opportunities. We'll also equip you to construct a robust agent strategy, build pilot projects with measurable KPIs, and address critical ethical and governance considerations for responsible AI implementation. You'll walk away with a reusable playbook and templates, ready to transform your product development and strategic decision-making.

This course is perfect for: Product managers, tech leads, innovation heads, founders, entrepreneurs, consultants, and coaches seeking to harness the power of Agentic AI for competitive advantage.

Enroll today and unlock the future of intelligent products!

Curriculum

Week 1: Introducing Agentic AI – The 'What', 'Why', and 'Why Now'

This introductory week sets the foundation by defining Agentic AI and differentiating it from traditional AI and LLMs. You’ll learn about autonomous agents, exploring their advantages and limitations compared to chatbots and copilots. Key agent components – tools, memory, and goal setting – are introduced, alongside real-world examples like AutoGPT, LangChain, and CrewAI. The week concludes by assessing the implications of Agentic AI on product innovation and the potential risks associated with its implementation.

Week 2: Mastering Agent Design Patterns – Core Concepts for Leaders

Week two deep dives into the core concepts of agent design. You'll learn about the agent loop (Think-Act-Observe-Reflect) and different agent types: single-shot, reactive, planning, and multi-agent systems. We'll explore tools, tool-use patterns, memory systems (scratchpad vs. long-term), reasoning and planning techniques (chain-of-thought, tree of thought), and safety considerations. This module culminates in a practical exercise to help you select the optimal agent pattern for diverse use cases.

Week 3: Navigating the Agentic AI Ecosystem – Essential Knowledge for PMs

Week three focuses on the tools and technologies driving Agentic AI. You'll gain familiarity with key frameworks like LangGraph, CrewAI, BeeAI, and Autogen; the LLMs that power agents (GPT-4o, Claude, open-source options); and tool execution environments (MCPs, Plugins, APIs). We’ll also cover embeddings, vector databases, Retrieval-Augmented Generation (RAG), and no-code/low-code agent builders. The week concludes with practical advice on how product managers can successfully navigate the technical complexities of the agentic ecosystem.

Week 4: Unleashing Agentic AI in Product Teams – Real-World Applications

This week explores diverse applications of Agentic AI within product teams. You’ll investigate use cases such as internal productivity agents (market research, synthesis), customer-facing agents (support, onboarding), agents for product operations and roadmapping, data agents, and DevEx agents. The Use Case Canvas framework will help you evaluate and prioritize these opportunities. The module concludes with a workshop to identify your first Agentic AI project.

Week 5: Architecting and Deploying Agent Workflows – Practical Strategies

Week five focuses on the practical aspects of designing and deploying agent workflows. You'll learn about single versus multi-agent systems, various orchestration models (parallel, sequential, hierarchical), and the use of workflow tools. We'll also cover agent roles (planner, researcher, coder), API integrations, workflow observability, debugging, and crucial governance aspects, including logging, monitoring, and ethical considerations.

Week 6: Building Your Agentic AI Strategy – From Pilot to Production

The final week helps you develop your own Agentic AI adoption strategy. This includes defining pilot project strategies, establishing KPIs, assessing team readiness, making informed build-vs-buy-vs-partner decisions, and managing risks (security, hallucinations, bias). We'll provide an overview of legal and compliance matters, discuss scaling your Agentic AI stack, and conclude with a capstone project to create your personalized Agentic AI playbook.

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