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Pricing & enrollment

Pay for the phase you are on — or the whole path.

The Agentic AI Engineering course is 25 practical modules across three phases. Enroll phase by phase as you progress, or take the full path from foundations to the production capstone. This page shows what each phase includes and the ways you can pay for it.

Sign up now Full curriculum
Practical modules
25
Practical modules
Phases, enrolled separately or together
3
Phases, enrolled separately or together
Payment rhythms: per phase or full path
2
Payment rhythms: per phase or full path
Production capstone
1
Production capstone

Payment options

Three ways to pay

Pay in full

One payment at enrollment unlocks the phase you choose, with immediate access to every module in it.

Pay per phase

Start with Phase 1 and add Phases 2 and 3 when you are ready — each phase is enrolled separately, so you only pay for the stage you are on.

Full-path enrollment

Commit to all three phases up front through the course page and carry one continuous enrollment from foundations to the capstone.

Nothing is charged on this site — enrollment and payment are completed on the course page, and every Learn now button opens it in a new tab.

What your enrollment includes

Module breakdown by phase

Every module below is included when you enroll in its phase. Phase 1 has its own enrollment page; Phases 2 and 3 enroll through the main course page.

01

Phase 01 · 6 modules

Foundations

Build the engineering base

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  • 01Python & AI Development Environment SetupPython projects, virtual environments, Git, secret management, and asynchronous LLM calls.
  • 02Building AI Apps with FastAPI, Streamlit & GradioAPIs, streaming chat interfaces, file pipelines, and shareable AI demos.
  • 03LLM Fundamentals, Context & Prompt EngineeringTokens, context windows, structured outputs, and function calling.
  • 04Embeddings, Vector Databases & Semantic SearchVector indexes, chunking, and hybrid semantic + keyword retrieval.
  • 05AI-Assisted (Vibe) Coding for DevelopersResponsible AI coding across planning, implementation, and review.
  • 06No-Code Workflow AutomationTriggers, webhooks, agent APIs, and visual automations.
02

Phase 02 · 8 modules

Orchestration & Protocols

Turn calls into systems

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  • 01LangChain Core — Chains, Memory & RAGReusable chains, memory strategies, and grounded generation.
  • 02LangChain Agents & Tool UseReAct agents, typed tools, SQL integrations, and retries.
  • 03LangGraph — Stateful Workflows & RoutingAgent state, conditional routes, nodes, and edges.
  • 04LangGraph — Cycles, Human-in-the-Loop & PersistenceReview gates, checkpoints, fan-out, and sub-graphs.
  • 05Tracing, Evaluation & TestingTrace runs, design datasets, and prevent regressions.
  • 06MCP — Architecture & Custom ServersTools, resources, prompts, transports, and access controls.
  • 07MCP — Ecosystem IntegrationsPractical MCP services and multi-server environments.
  • 08Programmatic PromptingDeclarative prompt programs, optimisers, and metrics.
03

Phase 03 · 11 modules

Production, Safety & Capstone

Engineer for the real world

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  • 01Deep Agents — Reflection, Planning & Long-Term MemoryReflective loops, planning systems, and memory layers.
  • 02Multi-Agent Orchestration & Custom MCP ServersSpecialist agents and typed MCP servers from scratch.
  • 03Agentic RAG & GraphRAGAdaptive retrieval, corrective loops, and knowledge graphs.
  • 04Advanced Workflows with Visual AutomationVisual workflows, webhooks, schedules, and LangGraph.
  • 05Guardrails & AI SafetyInput, output, and tool-use controls with validation.
  • 06Monitoring, Evaluation & Fine-TuningTraces, metrics, cost control, drift, and LoRA.
  • 07Containerising & Deploying AI AgentsCI/CD, secure containers, and blue/green releases.
  • 08Capstone Part 1 — Architecture, Build & IntegrationDesign and integrate a complete real-world system.
  • 09Capstone Part 2 — DeploymentDeploy, monitor, audit, and demonstrate the live system.
  • 10Agent Interoperability ProtocolsAgent-to-agent communication, discovery, and delegation.
  • 11Generative AI and LLM SecurityPrompt injection, data leakage, and supply-chain defense.

Included in every enrollment

One course, end to end

  • All 25 hands-on modules across three phases
  • A two-part production capstone you design, build, and deploy
  • Practical exercises in every module — no slide-only lessons
  • Coverage of FastAPI, LangChain, LangGraph, MCP, and deployment tooling
  • The complete syllabus to review before you decide

Ready to start?

Sign up on the course page and get immediate access to your first module — Phase 1 has its own page if you want to start there.

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Phase 1 only? Enroll in Foundations directly