AI Agents
Lesson 9: The Future of Multi-Agent Collaboration Platforms
Explore the future of AI collaboration where multiple specialized AI agents work together as coordinated teams. Discover how MCP enables this evolution and what it means for the future of work and business innovation.
Lesson 7: Getting Started with Model Context Protocol (MCP)
Learn how to implement Model Context Protocol in your organization through practical, step-by-step guidance. Discover implementation approaches, planning strategies, and real-world examples that get you started quickly and successfully.
Lesson 6: Real-World Applications of the Model Context Protocol
Discover how leading companies across industries are using the Model Context Protocol to create AI assistants that access real-time information, perform actions across multiple systems, and deliver transformative business results.
Lesson 5: Enabling Tool Use and Multi-Agent Workflows with MCP
Discover how the Model Context Protocol transforms AI from simple question-answering systems into dynamic agents that can use tools, perform actions, and collaborate with other AI systems to solve complex real-world problems.
Lesson 4: Understanding How MCP Organizes Information
Discover how the Model Context Protocol organizes information into distinct layers—current questions, conversation memory, and system guidelines—to create more reliable, consistent, and intelligent AI interactions.
Lesson 2: Model Context Protocol (MCP): The Universal Connector for AI Context
Discover how the Model Context Protocol (MCP) transforms AI integration from a complex web of custom connections into a simple, standardized system that works like USB-C for artificial intelligence.
Lesson 1: The Context Challenge: Why LLMs Need MCP
Discover why even the most advanced Large Language Models struggle without proper context and how the Model Context Protocol (MCP) revolutionizes AI system integration with external data sources.
Chapter 12: The Future of AI Agents
Explore how AI agents will reshape society and industries over the next decade. Examine key trends in agent evolution, prepare for the changing human-machine relationship, and understand the governance frameworks needed in an agent-powered future.
Chapter 11: Capstone Project: Building a Travel Agent AI
Apply your AI agent knowledge to build a practical travel assistant that gathers user preferences, researches destinations, creates customized itineraries, and finds booking options—all while maintaining context and providing a conversational experience.
Chapter 10: Deployment and Production
Learn essential strategies for successfully deploying AI agents to production environments. This chapter provides a conceptual framework for scaling systems, optimizing performance, implementing monitoring, managing versions, and integrating with existing infrastructure — all critical aspects of transitioning from prototype to production.
Chapter 9: Ethical Considerations and Best Practices
Learn how to develop and deploy AI agents ethically, examining critical concerns around fairness, bias, transparency, privacy, and accountability. Discover practical frameworks for responsible agent design, testing methodologies to detect potential harms, and governance approaches to ensure ongoing ethical operation.
Chapter 6: Building Your First AI Agent
Master the fundamentals of AI agent development with this hands-on guide. Learn to set up your environment, implement reactive and model-based agents, integrate planning capabilities, connect to external tools, and thoroughly test your agent. Gain practical skills through step-by-step examples suitable for beginners and intermediate developers.
Chapter 8: Real-World Applications of AI Agents
Explore how AI agents are being deployed across industries to solve real problems. Examine practical implementations of conversational agents, autonomous systems, recommendation engines, industrial automation solutions, and gaming applications, with case studies highlighting tangible benefits and implementation challenges.
Chapter 7: Advanced Agent Capabilities
Discover cutting-edge techniques that push AI agents beyond basic implementations. Learn how advanced memory systems, sophisticated learning algorithms, cognitive architectures, and integration approaches create agents capable of solving the most challenging real-world problems.
Chapter 4: AI Agent Design Patterns
Discover the fundamental design patterns that power effective AI agents. Learn how to implement Tool Use, Planning, Retrieval-Augmented Generation, and Multi-Agent architectures, with practical strategies for handling failures and ensuring robust agent behavior.
Prompt Engineering Foundations
Learn the core principles and advanced methods of prompt engineering that unlock the full potential of large language models (LLMs) like ChatGPT, Claude, Gemini, and more. From output control and sampling settings to advanced prompting frameworks, this lesson gives you the tools to drive better results, improve consistency, and think like a true AI collaborator.
Model Context Protocol (MCP): The Missing Link in AI Integration
Large language models are powerful—but limited by fragmented tools, shallow integrations, and poor context management. Enter the Model Context Protocol (MCP): a universal interface that helps AI systems interact with real-world data, tools, and workflows. This course explores how MCP works, why it matters, and how to use it—from architectural concepts and layered context to real-world applications, multi-agent workflows, and implementation best practices.
Whether you’re a developer, researcher, or product leader, you’ll gain the foundational knowledge to build, integrate, and scale AI systems using structured, context-aware protocols.
AI-Powered Travel: Plan Smarter, Travel Better
This hands-on guide teaches you how to plan your next adventure with AI-powered travel assistants like ChatGPT, Roam Around, Hopper, and GuideGeek. From booking flights and finding hidden gems to packing lists and souvenir creation, you’ll learn how to use AI at every stage of the travel journey. Whether you’re a seasoned traveler or planning your first trip, this course shows how to save time, reduce stress, and uncover experiences you’d never find in a traditional guidebook.
Get the Most Out of Gemini
Get the Most Out of Gemini is your essential guide to using AI as a daily assistant, creative partner, and productivity booster. Whether you’re just starting or want to sharpen your prompting skills, this module walks you through everything—from setting up your environment and writing effective prompts, to using advanced features. With clear explanations, real-world use cases, and expert tips, you’ll learn how to turn Gemini into a powerful tool that works the way you work.
Get the Most Out of Claude
Get the Most Out of Claude is your essential guide to using AI as a daily assistant, creative partner, and productivity booster. Whether you’re just starting or want to sharpen your prompting skills, this module walks you through everything—from setting up your environment and writing effective prompts, to using advanced features. With clear explanations, real-world use cases, and expert tips, you’ll learn how to turn Claude into a powerful tool that works the way you work.
Get the Most Out of ChatGPT
Get the Most Out of ChatGPT is your essential guide to using AI as a daily assistant, creative partner, and productivity booster. Whether you’re just starting or want to sharpen your prompting skills, this module walks you through everything—from setting up your environment and writing effective prompts, to using advanced features like Memory and Custom GPTs. With clear explanations, real-world use cases, and expert tips, you’ll learn how to turn ChatGPT into a powerful tool that works the way you work.
Teaching Your Kid to Code by Making a Videogame in Under an Hour
In this hands-on walkthrough, a parent and teacher explores how kids can safely learn to code — and even build their first videogame — using AI. From keyboard controls to gliding physics and pixel art, discover how tools like Jippity are empowering the next generation of creators while giving parents peace of mind.
AI Literacy for Parents: What You Need to Know
Build your foundation in AI with this essential guide for parents. Learn the core concepts behind today’s AI tools, explore how they can benefit your family, understand their limitations, and set realistic expectations for how to use them. This chapter empowers you to confidently evaluate AI technologies and make informed choices for your home.
Vibe Coding 101: Build Faster with AI by Your Side
Vibe coding is a new way to build software—faster, more intuitively, and with powerful AI assistants like GitHub Copilot and ChatGPT as your collaborators. This course teaches you the foundations of vibe coding, from setting up your environment to prompting strategies, debugging, and building real projects. Whether you’re creating SaaS apps or games, you’ll learn how to pair with AI to turn ideas into code, without starting from scratch.
AI Agents: From Theory to Application
Nick Wentz
Nick Wentz helps people harness the power of AI to improve everyday life. With a background in tech, media, and education, Nick builds practical, approachable learning experiences that make advanced AI tools accessible to everyone—from busy parents to ambitious professionals. His mission is simple: teach people how to use AI to save time, make smarter decisions, and build a better future.
Matthew Berman
Matthew Berman is the creator of Forward Future, where he interviews the thinkers and builders shaping the next era of AI. At Forward Future University, he translates those insights into clear, practical lessons to help people understand how AI really works—and how to use it. Known for making complex ideas feel human, Matthew blends storytelling with systems thinking to help learners stay ahead of the curve.
Jacob Shulman
Jacob Shulman is a teacher, programmer, and musician from Los Angeles. He is the cofounder of Jippity, the only AI-powered, kid-friendly coding workspace on the web.
Astro
Born in a simulated training orbit built by the first AGI research collective, Astro was designed to explore not just outer space—but the frontier of intelligence itself. Raised on a steady diet of curiosity, code, and cosmic questions, he now serves as Forward Future’s official ambassador of innovation. With one boot in reality and the other in possibility, Astro guides humans through the AI era with wonder, wisdom, and the occasional well-timed meme.
