Master Generative AI & Agentic AI

Understand what generative AI is, how it evolved and where it creates business value.

• play_circleAI, ML, deep learning and generative AI explained
• play_circleHistory and evolution of generative models
• play_circleGenerative AI use cases across industries
• play_circleCapabilities, limitations and hallucinations
• play_circleLab: exploring leading generative AI platforms

Set up a professional AI engineering environment and the Python skills to use it.

• play_circlePython essentials for AI engineers
• play_circleWorking with APIs, JSON and async code
• play_circleNumPy, Pandas and data handling for AI
• play_circleJupyter, VS Code, Git and environment management
• play_circleLab: your first LLM-powered Python app

Learn the neural network foundations behind every modern generative model.

• play_circleNeural networks and backpropagation
• play_circleEmbeddings and representation learning
• play_circleThe attention mechanism
• play_circleTransformer architecture in depth
• play_circleLab: building a mini-transformer in PyTorch

Work hands-on with commercial and open-source LLMs, and choose the right one for the job.

• play_circleHow LLMs are pre-trained and aligned
• play_circleCommercial vs open-source models
• play_circleTokens, context windows and sampling parameters
• play_circleStructured outputs and function calling
• play_circleLab: benchmarking models for a real use case

Design prompts that are reliable, testable and production-ready.

• play_circlePrompt design principles
• play_circleZero-shot, few-shot and chain-of-thought prompting
• play_circleSystem prompts, roles and guardrails
• play_circlePrompt evaluation and iteration
• play_circleLab: building a prompt library for a business workflow

Generate and understand images, audio and video alongside text.

• play_circleDiffusion models and image generation
• play_circleVision-language models and image understanding
• play_circleSpeech-to-text and text-to-speech
• play_circleVideo generation and editing workflows
• play_circleLab: building a multimodal content assistant

Ground LLMs in your own data with robust retrieval pipelines.

• play_circleRAG architecture and when to use it
• play_circleChunking strategies and embeddings
• play_circleVector databases: Pinecone, Chroma and pgvector
• play_circleHybrid search, re-ranking and evaluation
• play_circleLab: enterprise knowledge-base assistant

Adapt models to your domain with efficient fine-tuning techniques.

• play_circleWhen to fine-tune vs prompt vs RAG
• play_circlePreparing instruction datasets
• play_circleParameter-efficient fine-tuning with LoRA and QLoRA
• play_circleEvaluating fine-tuned models
• play_circleLab: fine-tuning an open-source model

Move from chatbots to autonomous agents that reason, plan and take action.

• play_circleWhat makes an AI system agentic
• play_circleReasoning and planning patterns (ReAct, plan-and-execute)
• play_circleTool use and function calling
• play_circleMemory: short-term, long-term and episodic
• play_circleLab: building a single-agent research assistant

Build agents with the leading frameworks and connect them to real systems.

• play_circleLangChain and LangGraph
• play_circleCrewAI and AutoGen
• play_circleModel Context Protocol (MCP) and tool integrations
• play_circleNo-code agent workflows with n8n
• play_circleLab: an agent that automates a business process

Design teams of agents that collaborate safely and reliably.

• play_circleMulti-agent architectures and communication patterns
• play_circleOrchestration, routing and supervision
• play_circleHuman-in-the-loop approvals
• play_circleAgent evaluation, observability and debugging
• play_circleLab: multi-agent customer operations system

Ship generative AI to production responsibly and showcase a flagship project.

• play_circleDeploying AI apps with FastAPI, Docker and the cloud
• play_circleLLMOps: monitoring, cost and latency optimisation
• play_circleAI safety, ethics and governance
• play_circlePortfolio, interviews and career paths in AI engineering
• play_circleFlagship capstone: production-grade agentic AI application