Hands-on Classes
Intensive, project-based learning designed to take you from theory to production.
Python for AI Engineers
Master the Python skills specifically needed for building modern AI applications.
Curriculum Preview
- Programming in Python
- Pydantic and Data Validation
- FastAPI for AI Microservices
What You Get
- Write clean Python scripts for AI workflows
- Validate AI inputs and outputs with Pydantic
- Build a small FastAPI service around model-powered logic
- Understand the backend patterns used in modern AI apps
Details

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Intro to LLMs
Get started with Large Language Models. Understand how they work and how to use them effectively.
Curriculum Preview
- What are LLMs?
- Tokens and Context Windows
- Basic Prompting techniques
- Integrating LLMs into workflows
What You Get
- Explain LLM concepts without jargon
- Create clearer prompts for reliable outputs
- Recognize when an LLM should not be trusted blindly
- Identify useful LLM opportunities in real workflows
Details

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Building AI Agents with Python, Langchain, and LangGraph
Learn to build autonomous agents using Python and LangGraph. Includes intensive training on AI-assisted coding in Python.
Curriculum Preview
- LangChain Basics and Agents
- LangGraph and State Management
- Custom Tool Development
- AI-Assisted Coding Workflows
- Chat Agent using Next.js
What You Get
- Design agent workflows with explicit state
- Build LangChain and LangGraph agents in Python
- Create custom tools with safer contracts
- Connect an agent backend to a web UI
Details

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Intro to AI & Generative AI (Beginner)
A practical beginner-friendly class on using modern AI tools to organize work, create content, research faster, and automate everyday tasks.
Curriculum Preview
- AI Basics and what modern AI tools can actually do
- Generative AI for writing, research, images, audio, and video
- Prompt Engineering patterns for better everyday results
- Gemini, Claude, and ChatGPT workflows for personal and business productivity
- Build simple AI-assisted workflows for email, planning, content, and daily tasks
What You Get
- Understand the practical AI tool landscape
- Write better prompts for everyday work
- Use AI while protecting privacy and judgment
- Leave with a reusable personal productivity workflow
Details

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Learn Claude Code end to end
Master Anthropic's Claude Code for advanced coding tasks, refactoring, and project management.
Curriculum Preview
- Getting Started with Claude Code
- Context Management and File Access
- Automated Testing and Bug Fixing
- .clade and CLAUDE.md for project setup
- Advanced Claude Code features
What You Get
- Use Claude Code for real codebase work
- Create effective project instructions
- Debug and refactor with verification
- Review AI-generated diffs with engineering judgment
Details

Mastering Prompt Engineering
The definitive guide to crafting prompts that get results. From zero-shot to complex chain-of-thought patterns.
Curriculum Preview
- Prompt Structures and Components
- Advanced Reasoning Patterns
- Few-Shot and COT Prompting
- Evaluating Prompt Performance
What You Get
- Design prompts with repeatable structure
- Use examples and constraints effectively
- Evaluate prompt quality with simple rubrics
- Build reusable prompt templates for work
Details

Build end to end RAG with LangChain or AWS Knowledge Bases
Directly connect your data to LLMs. Build robust Retrieval Augmented Generation systems using modern stacks.
Curriculum Preview
- Vector Databases and Embeddings
- Document Processing Pipelines
- RAG Evaluation with RAGAS
- AWS Knowledge Bases vs Custom RAG
What You Get
- Build a complete RAG pipeline
- Understand vector search and chunking tradeoffs
- Evaluate RAG quality instead of guessing
- Choose between managed AWS and custom LangChain stacks
Details

Learn how to use local LLMs on Ollama and Groq
Run powerful models on your own hardware or ultra-fast Groq inference engines.
Curriculum Preview
- Ollama Installation and Modelfiles
- Quantization and Hardware Tuning
- Groq API and LPU Performance
- Privacy-first AI Applications
What You Get
- Run and customize local models with Ollama
- Understand quantization and hardware limits
- Use Groq for fast hosted inference
- Design privacy-first AI workflows
Details

Learn how to work with MCP server
Master the Model Context Protocol (MCP) to connect LLMs to your local tools and data safely.
Curriculum Preview
- Understanding Model Context Protocol
- Setting up custom MCP Servers
- Tool and Resource Identification
- MCP Security and RBAC
What You Get
- Explain MCP and where it fits
- Build a minimal MCP server
- Expose tools and resources safely
- Think clearly about AI tool permissions
Details

Advanced AI Security & Governance
Deep dive into red teaming LLMs, prompt injection defense, and enterprise AI safety frameworks.
Curriculum Preview
- Adversarial Attacks on LLMs
- Defense-in-Depth for AI Systems
- GovAI and Regulatory Compliance
- Building Private LLM Gateways
What You Get
- Threat model AI and agent systems
- Understand prompt injection and RAG attack paths
- Design layered safety controls
- Create governance artifacts teams can actually use
Details

AI-Powered Software Architect: Designing Scalable Agentic Systems
Move beyond basic prompting. Learn to design, architect, and deploy complex, reliable multi-agent systems at scale using modern orchestration frameworks.
Curriculum Preview
- System Design for Agentic Workflows
- Multi-Agent Orchestration Patterns
- Model Context Protocol (MCP) in Production
- Observability and Evaluation (RAGAS & LangSmith)
- Deployment Strategies for Agentic Systems
What You Get
- Architect scalable agentic systems
- Choose orchestration patterns for real constraints
- Plan MCP-enabled tool integration safely
- Design observability, evaluation, and deployment workflows
Details

Don't miss the next cohort
We will be announcing new hands-on classes soon. Connect on LinkedIn to be get updates on upcoming hands-on classes, early-bird discounts, and new course launches.