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AI Anytime

Course Catalogue

Four courses. One standard.

Each one ends with something deployed and measured, not a folder of notebooks. Run them as live cohorts, private corporate batches, or university electives.

Book a cohortCourse design & development →

12 weeks · 8–10 hours per week

Full Stack AI Engineering

A 12-week full stack AI course: build, deploy, and operate an AI application end to end — API, retrieval, agents, frontend, infrastructure, and monitoring.

  • 12 weeks
  • Intermediate
  • Project-based
  • Deployment
  • Live cohort

Syllabus→

  1. 01The AI application stack6 hours
  2. 02Backend for AI services10 hours
  3. 03Data and retrieval12 hours
  4. 04Agents and tools10 hours
  5. 05Frontend for AI8 hours
  6. 06Evaluation and quality8 hours
  7. 07Deployment and infrastructure10 hours
  8. 08Operations8 hours

8 weeks · 6–8 hours per week

Generative AI

An 8-week generative AI course covering LLMs, embeddings, RAG, fine-tuning, multimodal models, and safety — with working code at every stage.

  • 8 weeks
  • Beginner friendly
  • RAG
  • Fine-tuning
  • Multimodal

Syllabus→

  1. 01How generative models work6 hours
  2. 02Working with LLM APIs6 hours
  3. 03Prompt engineering6 hours
  4. 04Embeddings and vector search6 hours
  5. 05Retrieval-augmented generation8 hours
  6. 06Fine-tuning and adaptation8 hours
  7. 07Multimodal6 hours
  8. 08Evaluation, safety, and cost6 hours

8 weeks · 8 hours per week

Agentic AI

An 8-week agentic AI course on tool use, reasoning loops, memory, multi-agent coordination, MCP, and the evaluation that keeps autonomous systems trustworthy.

  • 8 weeks
  • Advanced
  • LangGraph
  • MCP
  • Multi-agent

Syllabus→

  1. 01The agent loop from scratch6 hours
  2. 02Tools and function calling6 hours
  3. 03Orchestration with LangGraph8 hours
  4. 04Model Context Protocol6 hours
  5. 05Memory8 hours
  6. 06Multi-agent systems8 hours
  7. 07Context engineering for agents6 hours
  8. 08Evaluation, tracing, and safety8 hours

6 weeks · 8 hours per week

Forward Deployed AI Engineer

A 6-week course for forward deployed AI engineers: scoping in the field, prototyping against messy customer data, integration, demos that convince, and handover that lasts.

  • 6 weeks
  • Advanced
  • Enterprise
  • Customer facing
  • Delivery

Syllabus→

  1. 01The role and its economics4 hours
  2. 02Discovery and scoping6 hours
  3. 03Prototyping against real data8 hours
  4. 04Integration in someone else's stack8 hours
  5. 05Evaluation the customer trusts6 hours
  6. 06Demos, handover, and expansion6 hours

Not looking to attend?

We also build courses
for other people.

Instructor-led delivery, course design, course development, or a full turnkey package — for AI programs in full stack AI, generative AI, agentic AI, and forward deployed engineering.

InstructorCourse designCourse developmentFull package
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FAQ

Choosing and running a course

How are these AI courses delivered?

As live cohorts, private corporate batches, self-paced tracks, or semester courses inside a university program. The syllabus is the same; the pacing, assessment, and capstone brief change with the mode.

Which course should I start with?

If you are new to LLMs, start with Generative AI. If you can already build with them and want to ship products, take Full Stack AI Engineering. If you have hit the ceiling of a single prompt-and-retrieve system, take Agentic AI. Forward Deployed AI Engineer is for people who will be delivering AI inside someone else's organisation.

Can a course be customised for our team?

Yes. Corporate batches run against your own stack — your cloud, your vector store, your internal APIs — and the capstone is usually a real internal use case rather than the default brief. Modules can be dropped or extended to fit the hours you have.

Are these courses suitable for a university semester?

Generative AI and Full Stack AI Engineering map cleanly onto three or four credit electives. We supply the syllabus mapping, lab sheets, rubrics, and question banks alongside delivery, and can train your faculty to run it in later semesters.

Do learners get certificates?

Yes, on completion of the labs and capstone. Certificates name the modules and contact hours and can be co-branded with your institution or company.

Is there free material to evaluate the teaching first?

Hundreds of hours of it. The learning paths, open-source repositories, and YouTube tutorials on this site cover much of the same ground for free — the courses add sequence, assessment, and a person to answer questions.

Can we license a course to teach ourselves?

Yes. That is the course development and full package engagement: we design and build it, you deliver it under your own brand. See the online courses offering for how those scopes differ.