Software Trainings · AI / ML track
AI / ML for builders — the applied LLM stack, end to end.
A twelve-week applied AI cohort inside our software trainings catalogue. Begin with classical ML and deep learning intuition; finish with a deployed LLM application, an evaluation harness, and the cost-latency-safety thinking real teams need.
What this track delivers
Why this track is different.
- 01
Modern stack
PyTorch, Hugging Face, OpenAI, Anthropic, pgvector, LangChain — taught against real problems, not toy notebooks.
- 02
Ship a capstone
A deployed RAG application with an evaluation harness, observability, and a written design doc you can defend in interviews.
- 03
Mentor 1:1s
Weekly check-ins with practising AI engineers, plus an alumni Slack for life after the cohort.
- 04
Career on-ramp
Resume polish, mock interviews, and 90-day placement support across our AI/ML hiring network.
Week-by-week
Syllabus in order.
- Week 1–2ML foundations
Linear models, trees, evaluation, cross-validation.
- Week 3–4Deep learning
Neural nets, backprop, PyTorch training loops.
- Week 5–6Computer vision
CNNs, transfer learning, object detection basics.
- Week 7–8NLP & transformers
Embeddings, attention, fine-tuning, Hugging Face.
- Week 9–10LLM applications
RAG, agents, evaluation harnesses, cost control.
- Week 11–12Capstone
Design, train/build, deploy, and evaluate an AI system.