Master Skills with
Hands-On Learning
Every course includes a personal AI instructor. From cloud labs to interactive simulations — learn by doing, not just watching.
Implementing Analytics Solutions Using Microsoft Fabric (DP-600)
Design and ship enterprise Microsoft Fabric analytics — OneLake, Lakehouse + Warehouse, Real-Time Intelligence, semantic models, DAX, and Copilot. Aligned to the DP-600 exam (Skills Measured as of July 21, 2026).
AI-500: Designing and Implementing Multi-Agent AI Solutions
Build, evaluate, secure, and ship production multi-agent AI systems on Microsoft Foundry using the Agent Framework, MCP, LangGraph, RAG, and Zero Trust patterns — aligned to the AI-500 certification.
AI-3026: Agent Development on Microsoft Foundry
Build and orchestrate AI agents on Microsoft Foundry — from single-agent function tools + MCP + RAG through the Microsoft Agent Framework and A2A multi-agent patterns. Anchored in the Halcyon Insurance claims-modernization scenario.
AI-300: Operationalizing Machine Learning and Generative AI Solutions
Operationalize ML and generative AI on Azure — Azure ML lifecycle, Foundry evaluations, GitHub Actions OIDC, RAG tuning, fine-tuning. AI-300 exam prep.
Azure AI Foundry Intensive for DIA Developers (AI-3016)
Two-day Azure AI Foundry intensive for DIA developers. Eight teaching+hands-on pairs covering Foundry projects, model catalog, Responses API, tools, RAG with Azure AI Search, production observability, and an end-to-end capstone. Fictional SIB OSINT scenario, non-classified.
AI-200: Developing AI Cloud Solutions on Azure for Python Developers
Build production-ready Python AI back-ends on Azure across 12 hands-on labs: containers (ACR, App Service, Container Apps, AKS), data services with vector search (Cosmos DB, PostgreSQL pgvector, Managed Redis), eventing (Service Bus, Event Grid, Functions), and security + observability (Key Vault, App Configuration, OpenTelemetry, KQL). Capstone integrates everything into the Northwind Logistics back-end. Prepares you for Microsoft Exam AI-200.
OpenAI: Pages Unwritten — Build a Choose-Your-Own-Adventure
Build a playable choose-your-own-adventure visual novel with the OpenAI API. Add a storyteller, branching choices, scene backgrounds with gpt-image-1, story-arc tracking, and streaming — one exercise at a time.
OpenAI: Dungeon Quest — Build an AI-Powered RPG
Build a playable web RPG step by step using the OpenAI API. Add a game master, NPC dialogue, combat narration, structured output, streaming, and voiced speech narration — one exercise at a time.
Introduction to Gemini Enterprise Agent Platform for Python Developers
Developer-first introduction to Gemini on the Gemini Enterprise Agent Platform using the google-genai SDK. Build real Python apps with multimodal prompts, streaming, thinking mode, safety settings, and structured JSON output. Ends with a capstone merch-desk CLI.
AI-103: Developing AI Apps and Agents on Azure for Python Developers
Build production-ready generative AI solutions and agents on Microsoft Foundry using the OpenAI Responses API, Foundry Agent Service SDK, Microsoft Agent Framework, Azure AI Search, Content Understanding (documents + video), Vision, and Voice Live — aligned to the AI-103 certification.
OpenAI: Multimodal Applications with GPT-4o
Build multimodal AI applications with GPT-4o vision, Whisper audio transcription, TTS speech synthesis, and gpt-image-1 image generation.
OpenAI: Embeddings & Retrieval Systems (RAG)
Build production RAG pipelines with OpenAI embeddings, pgvector, hybrid BM25+vector search, and the native File Search API.
OpenAI: Tool Calling & Structured Outputs
Build production-grade tool-calling systems with JSON Schema definitions, parallel execution, Pydantic structured outputs, and role-based permission enforcement.
OpenAI: Prompt Engineering for Developers
Design reliable, cost-efficient prompts using personas, few-shot examples, chain-of-thought, prompt chaining, and injection defense. Five hands-on labs from classifier to document pipeline.
OpenAI: Getting Started with the OpenAI API
Build your first AI applications with the OpenAI Python SDK. Master authentication, the Responses API, streaming, token optimization, and structured outputs through 5 hands-on labs.
Python Performance and Production Patterns
Ship Python to production — profiling, caching, connection pooling, observability, and containerized deployment with measurable results.
Async Python and Concurrency
Master Python concurrency — asyncio, threading, multiprocessing, and task orchestration for I/O-bound and CPU-bound workloads.
Python for Azure Cloud and Infrastructure
Deploy and manage Python applications on Azure — App Service, Functions, Storage, Cosmos DB, Key Vault, and managed identity.
Python Testing and Code Quality
Write reliable Python with pytest, type annotations, mypy, ruff, and CI pipeline patterns. Test a real FastAPI application.
Python Web Development with FastAPI
Build modern, type-safe web APIs with FastAPI, Pydantic validation, SQLAlchemy databases, and JWT authentication.
Python for Data Analysis
Analyze and visualize real-world data with pandas, NumPy, and matplotlib. Load, clean, transform, merge, and chart datasets.
Working with Files and APIs in Python
Connect Python to the real world — JSON, CSV, REST APIs, error handling, and configuration. Build a complete data pipeline as your capstone.