Agentic AI Playbook: Complete Guide for Tech Leaders

A non-technical, practical guide to leveraging Agentic AI in modern product and strategy decisions

What you'll learn
- Understand the fundamentals of Agentic AI and how it's different from traditional AI and LLMs
- Identify different types of agents, tools, memory systems, and design patterns
- Navigate the rapidly evolving agentic ecosystem (LangGraph, BeeAI, CrewAI, etc.)
- Spot real opportunities to use Agentic AI in product management and team workflows
- Design simple to complex agent workflows using orchestration tools
- Build a practical, risk-aware, and scalable Agentic AI adoption roadmap

Requirements
- No technical background or coding is needed.
- Curiosity about the next frontier of AI
- Familiarity with how product or tech teams operate
- Desire to build or shape the future of intelligent products

Description
Are you leading product teams or innovation initiatives and wondering how AI agents like AutoGPT, CrewAI, or LangGraph actually work—and how they apply to your world?

This course offers a practical, non-technical guide designed specifically for product managers, tech leads, and strategy heads who want to turn AI buzzwords into real impact.

Agentic AI is more than just chatbots and copilots. It represents a major shift in how software operates—from reactive prompts to autonomous, goal-seeking agents that can plan, decide, and act across tools and systems.

This course provides a strategic roadmap to help you understand, evaluate, and implement Agentic AI in your products, platforms, and workflows—without needing to write a single line of code.

In this six-week structured guide, you'll gain clarity on:

What Agentic AI is and how it differs from traditional AI and LLM-based copilotsKey agent components: tools, memory, goals, reflectionDesign patterns: single-shot, reactive, planning-based, multi-agent systemsThe agent ecosystem: LangGraph, BeeAI, CrewAI, AutogenTool execution with plugins, APIs, and MCPsUnderstanding GPT-4o, Claude, and open-source or local LLM optionsNo-code and low-code platforms for agent buildingInternal agents for research, data synthesis, and roadmappingCustomer-facing agents for onboarding, demos, and supportAgents for DevOps, data monitoring, and documentationFrameworks like the Use Case Canvas to identify agent opportunitiesSingle vs multi-agent architectures and when to use themOrchestration models: parallel, sequential, hierarchicalAgent roles: researcher, coder, planner, criticIntegrations with tools like Slack, Notion, CRMs, GitHubPlanning pilot projects with measurable KPIsDefining team roles and readinessLegal, ethical, and governance frameworks for agentic systemsScaling your agentic stack responsibly

You’ll walk away with a reusable playbook and templates to start building agent strategies for your team or product.

This course is designed for strategic, cross-functional professionals who want to lead AI transformation, including:

Product managers designing AI-powered features or workflowsTech leads aiming to incorporate agents into systems and architectureInnovation heads exploring scalable use casesFounders and entrepreneurs building AI-first startups or internal toolsConsultants and coaches helping organizations navigate the AI landscape

Whether you're experimenting or scaling, this course will help you think clearly, act effectively, and lead confidently.

Unlike most technical AI courses, this one is designed specifically for decision-makers and product leaders who want to:

Understand agentic AI without writing codeIdentify real use cases, not just watch demosMake smart build vs buy vs partner decisionsAlign agent capabilities with product, design, and business goalsBuild cross-functional alignment around risks, compliance, and scaling

Each module is packed with clear visuals, frameworks, and strategic insights that you can immediately apply to product conversations, planning sessions, and stakeholder meetings.

No coding is required. No AI background is assumed.

All you need is curiosity about the next frontier of AI, familiarity with how product or tech teams operate, and the desire to shape the future of intelligent products.

The course includes six module-based lessons, templates such as the Use Case Canvas and Agent Strategy Playbook, and a capstone project to create your own AI adoption strategy.

Agentic AI is already reshaping how software is being designed and delivered. This course will help you prepare for it—and lead it.

Enroll now to start building your Agentic AI advantage.

Who this course is for:
- Product Managers exploring intelligent agents for product design, research, and automation
- Technology Leaders responsible for integrating AI into team workflows or platforms
- Innovation Heads / Strategy Leads looking to build competitive advantage with Agentic AI
- Consultants & Coaches seeking frameworks to help clients adopt next-gen AI
- Founders & Entrepreneurs building AI-first or AI-enabled products
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