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Free77 lessons

AI Orchestration Foundations

Your complete introduction to AI Orchestration. Learn the fundamentals of orchestrating AI systems, from prompt engineering to building your first workflows. This free course gives you everything you need to understand the AI Orchestrator role and start building.

Course Content

Module 1: Welcome to AI Orchestration

Get oriented with the world of AI Orchestration and understand why this skill is transforming industries.

  • What is AI Orchestration?text
  • The AI Landscape in 2026text
Module 2: The AI Orchestrator Role

Understand what an AI Orchestrator does day-to-day and the skills required to excel in this role.

  • Day in the Life of an AI Orchestratortext
  • Career Paths & Opportunitiestext
Module 3: Tools & Platforms Landscape

Survey the key tools, platforms, and frameworks that AI Orchestrators use daily.

  • AI Models & Providerstext
  • Orchestration Frameworkstext
Module 4: Prompt Engineering Fundamentals

Master the art and science of communicating with AI models effectively.

  • Anatomy of a Great Prompttext
  • Advanced Prompt Techniquestext
Module 5: Building Your First AI Workflow

Get hands-on and build a real AI workflow from scratch.

  • Workflow Design Principlestext
  • Hands-On: Build a Research Agenttext
Module 6: AI Ethics & Responsible Use

Understand the ethical considerations and responsibilities that come with orchestrating AI systems.

  • Ethics for AI Orchestratorstext
  • Building Responsible AI Systemstext
Module 7: Next Steps: Your Orchestration Journey

Chart your path forward with advanced courses, certification, and career opportunities.

  • What You've Learnedtext
  • Advanced Courses & Certificationtext
Module 8: Understanding APIs

Learn how APIs work and why they are the backbone of every AI orchestration system.

  • What is an API?text
  • Authentication & API Keystext
  • Making Your First API Calltext
Module 9: Working with AI APIs

Get hands-on with the specific APIs that power AI orchestration — OpenAI, Anthropic, and others.

  • The OpenAI APItext
  • The Anthropic APItext
  • Comparing AI APIstext
Module 10: Introduction to MCP (Model Context Protocol)

Discover the protocol that connects AI models to real-world tools, data sources, and capabilities.

  • What is MCP?text
  • MCP Architecturetext
  • MCP Capabilitiestext
Module 11: Building with MCP Servers

Get practical with MCP — use existing servers, build your own, and deploy them in production.

  • Using Existing MCP Serverstext
  • Building Your First MCP Servertext
  • MCP in Productiontext
Module 12: Claude Code Fundamentals

Master Claude Code — the AI-native development tool that turns natural language into working software.

  • What is Claude Code?text
  • Your First Sessiontext
  • Effective Claude Code Workflowstext
Module 13: Advanced Claude Code

Push Claude Code to its limits with hooks, multi-agent development, and team collaboration features.

  • Hooks, Skills, and Custom Commandstext
  • Multi-Agent Developmenttext
  • Claude Code for Teamstext
Module 14: Connecting AI to Real Data

Learn how to ground AI in real-world data using retrieval-augmented generation (RAG) and knowledge bases.

  • RAG (Retrieval-Augmented Generation) Explainedtext
  • Building a Knowledge Basetext
  • RAG vs Fine-Tuningtext
Module 15: AI Tool Use & Function Calling

Understand how to give AI the ability to take real-world actions through tool use and function calling.

  • What is Tool Use?text
  • Designing Effective Toolstext
  • Tool Use Patternstext
Module 16: Workflow Automation & Integration

Connect AI to business tools and build end-to-end automations that save hours of manual work.

  • Automation Platformstext
  • Building API Integrationstext
  • End-to-End Workflow Designtext
Module 17: AI for Business Communication

Deploy AI to transform business communication — from email and writing to voice agents and chat support.

  • AI-Powered Email & Writingtext
  • AI Voice & Chat Agentstext
  • Measuring Communication ROItext
Module 18: Evaluating AI Outputs

Learn systematic approaches to measuring, testing, and improving the quality of AI-generated content and decisions.

  • Quality Metrics for AItext
  • Building Evaluation Pipelinestext
  • Continuous Improvementtext
Module 19: AI Security & Compliance

Protect your AI systems from attacks, handle data responsibly, and build trust through compliance.

  • Prompt Injection & Security Riskstext
  • Data Privacy & Compliancetext
  • Building Secure AI Systemstext
Module 20: The AI Orchestrator Portfolio

Build your professional portfolio, find clients, and prepare for the future of AI orchestration.

  • Building Your Portfoliotext
  • Finding Your First Clientstext
  • The Future of AI Orchestrationtext
Module 21: Modern Web Development with Next.js

Learn why Next.js is the framework of choice for AI applications and how to build with it effectively.

  • Why Next.js for AI Applicationstext
  • Project Structure & Routingtext
  • Server Actions & Data Fetchingtext
Module 22: Supabase — Your AI Backend

Master Supabase as the all-in-one backend for your AI applications — database, auth, storage, and more.

  • Supabase Overviewtext
  • Database Design for AI Appstext
  • Supabase Auth & Edge Functionstext
Module 23: Deploying with Vercel

Learn how to deploy your AI applications to production using Vercel's platform.

  • Vercel Platform Overviewtext
  • Environment Variables & Secretstext
  • Production Best Practicestext
Module 24: Tailwind CSS & UI Design Systems

Build professional, responsive user interfaces quickly using Tailwind CSS and modern component libraries.

  • Utility-First CSS with Tailwindtext
  • Component Libraries — shadcn/uitext
  • Building Professional UIs Fasttext
Module 25: TypeScript for AI Orchestrators

Learn the TypeScript skills you need to build type-safe, reliable AI applications.

  • TypeScript Essentialstext
  • Typing AI Responsestext
  • TypeScript in Practicetext
Module 26: Git & Version Control

Master Git and GitHub workflows to manage your AI projects professionally.

  • Git Fundamentalstext
  • GitHub Workflowstext
  • Git for AI Projectstext
Module 27: Payments & Monetization with Stripe

Learn how to accept payments and build subscription billing for your AI products using Stripe.

  • Stripe Fundamentalstext
  • Implementing Subscriptionstext
  • Monetizing AI Productstext
Module 28: Building Full-Stack AI Applications

Bring everything together — architecture, stack integration, and the practical roadmap from idea to launched product.

  • Architecture Patternstext
  • The AI App Stacktext
  • From Idea to Launchtext