Master's Programs Master

AI Advanced Master's Program

A 12-month master covering AI from software to hardware, including local and self-hosted AI, agents, fine-tuning, MLOps, safety and a real-world capstone.

The flagship program of AI Academy & consultants. Twelve months of structured, self-paced study taking you from mathematical foundations to production-grade AI systems. You will master the frontier LLM ecosystem (Claude, OpenAI, Gemini, Perplexity), build agents and RAG pipelines, fine-tune open models, and stand up your own private, self-hosted AI on real hardware. The program closes with a consulting-style capstone defended before a panel, and an industry certification.

Curriculum

Month 1 — Foundations of AI

  1. 01 Mathematics for AI 240 min
  2. 02 The AI landscape 240 min
  3. 03 Python & the AI toolchain 240 min

Month 2 — Machine Learning

  1. 04 Supervised learning 240 min
  2. 05 Unsupervised learning & embeddings 240 min
  3. 06 Evaluation & data discipline 240 min

Month 3 — Deep Learning

  1. 07 Neural networks & backpropagation 240 min
  2. 08 Computer vision & CNNs 240 min
  3. 09 Training in practice 240 min

Month 4 — Transformers & LLMs

  1. 10 Attention & the Transformer 240 min
  2. 11 Tokenization & context 240 min
  3. 12 Scaling laws & pretraining 240 min

Month 5 — Building with frontier LLMs

  1. 13 Prompt engineering & system design 240 min
  2. 14 Tool use & structured outputs 240 min
  3. 15 Multi-provider strategy 240 min

Month 6 — RAG & Agents

  1. 16 Embeddings & vector databases 240 min
  2. 17 RAG architectures 240 min
  3. 18 Agentic systems 240 min

Month 7 — Fine-tuning & customization

  1. 19 Supervised fine-tuning 240 min
  2. 20 Parameter-efficient fine-tuning 240 min
  3. 21 Preference optimization 240 min

Month 8 — Local & Self-hosted AI (Software)

  1. 22 Choosing open models 240 min
  2. 23 Inference engines & serving 240 min
  3. 24 Quantization & optimization 240 min

Month 9 — AI Hardware

  1. 25 Accelerators: GPUs, TPUs, NPUs 240 min
  2. 26 Memory, interconnect & datacenter 240 min
  3. 27 Sizing & building a rig 240 min

Month 10 — MLOps & Production

  1. 28 Deployment & serving at scale 240 min
  2. 29 Observability & evaluation in prod 240 min
  3. 30 Cost & reliability 240 min

Month 11 — Safety, Security & Governance

  1. 31 Risk & red-teaming 240 min
  2. 32 Data protection, privacy & GDPR 240 min
  3. 33 Responsible AI 240 min

Month 12 — Capstone & Consulting Practicum

  1. 34 Designing an end-to-end solution 240 min
  2. 35 Build: a private self-hosted deployment 240 min
  3. 36 Capstone defense & certification 240 min