Generative AI

AI Engineering with RAG

Production-grade retrieval-augmented generation

4.8program quality rating (instructor-assessed)
Level: AdvancedDuration: 6 monthsCredits: 21Tuition: $699$175 CADLead instructor: Mateus Oliveira
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About this program

Six months exclusively on RAG: chunking, embedding, retrieval, re-ranking, generation, and evaluation. Build a production-grade RAG system on a non-trivial corpus, then optimize it for cost, latency, and quality.

Student ratings

Exceptional — 428 verified Canadian graduates rated this program 4.8/5. Reviews emphasize the applied capstone, instructor responsiveness, and career outcomes.

4.8
428 reviews
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Who this program is for

  • Practitioners already shipping generative ai work who want depth
  • Senior engineers, data scientists, and technical leads
  • Canadian residents seeking a verifiable diploma credential

Topics you'll cover

6 modules across 6 months — 24 lessons in total.

01Month 1 — RAG Foundations02Month 2 — Document Pipelines03Month 3 — Embeddings and Vector DBs04Month 4 — Retrieval Quality05Month 5 — Evaluation06Month 6 — Capstone

Full syllabus

Module 1 · Month 1 — RAG Foundations
  • L1When RAG beats fine-tuning
  • L2Reference architectures
  • L3Common failure modes
  • L4Lab: first RAG
Module 2 · Month 2 — Document Pipelines
  • L1Parsing PDFs, HTML, slides
  • L2Tables and figures
  • L3Chunking strategies compared
  • L4Metadata extraction
Module 3 · Month 3 — Embeddings and Vector DBs
  • L1Embedding model comparison
  • L2pgvector, Qdrant, Pinecone, Weaviate
  • L3Index choice and tuning
  • L4Multi-vector strategies
Module 4 · Month 4 — Retrieval Quality
  • L1Hybrid (BM25 + dense)
  • L2Re-rankers
  • L3Query rewriting
  • L4Diversification
Module 5 · Month 5 — Evaluation
  • L1Ragas and Trulens
  • L2Faithfulness and groundedness
  • L3Building eval sets
  • L4Continuous evaluation
Module 6 · Month 6 — Capstone
  • L1Pick a real corpus
  • L2Build, optimize, deploy
  • L3Measure cost/quality trade-offs
  • L4Demo day

What you'll be able to do

  • Architect RAG systems on complex corpora
  • Choose and tune embedding models
  • Implement hybrid and re-ranked retrieval
  • Evaluate RAG with rigorous metrics
  • Optimize for cost and latency

Career paths after graduation

Role 1
Generative AI Engineer
Role 2
Prompt Engineering Lead
Role 3
LLM Application Developer

Frequently asked questions

How much does the AI Engineering with RAG cost?

Tuition is $175 CAD, paid once. You can pay in full at checkout or choose an interest-free monthly plan. A 30-day refund window applies from your enrollment date.

How long is the AI Engineering with RAG program?

Self-paced. Most students complete it in 6 months at roughly 8 hours per week, but you can go faster or slower — you keep lifetime access.

What are the prerequisites?

Python; LLM API familiarity

Is the diploma recognized in Canada?

Yes. Graduates receive the Altaris AI Academy Diploma in Generative AI — a verifiable credential with a unique certificate number you can publish on LinkedIn and that any employer can verify at altarisai.org/verify.

What is the refund policy?

Full refund within 30 days of enrollment, no questions asked. After day 30, prorated refunds are available per our Refund Policy.

Who teaches the program?

Working Canadian AI practitioners — not academics. Every module is built and reviewed by a lead instructor working in the field today.

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