AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents (Udemy)

Our take

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is a all level Data Science course from Ligency ​ on Udemy. It runs about 33.5 hours, and holds 4.6★ from 44,145 students in our Udemy course reviews.

Best for: all level learners who want one guided path through Data Science. Skip it if: You already work professionally in Data Science and need advanced architecture patterns.

📘 What you will learn

• Familiarity with Python. This course will not cover Python basics and is completed in Python.
• A PC with an internet connection is required. Either Mac (Linux) or Windows.
• We recommend that you allocate around $5 for API costs to work with frontier models. However, you can complete the course using open-source models if you prefer.

📑 Course content

8 sections · 210 lectures · 33.5 hours of video · updated 10/2026

1. Getting started — 30 lectures · 4.8h
2. Core foundations — 35 lectures · 5.6h
3. Building real projects — 22 lectures · 3.5h
4. Intermediate techniques — 26 lectures · 4.1h
5. Deep dive & best practices — 32 lectures · 5.1h
6. Capstone project — 34 lectures · 5.4h
7. Next steps — 31 lectures · 5h

🎯 Who it is for

Suits: Complete beginners, career switchers, and self-taught devs who want structure.

Needs: Familiarity with Python. This course will not cover Python basics and is completed in Python. A PC with an internet connection is required. Either Mac (Linux) or Windows. We recommend that you allocate around $5 for API costs to work with frontier models. However, you can complete the course using open-source models if you prefer.

👤 Instructor

Ligency ​ — Join 4M+ learners who study with Ligency. With a 4.6 instructor rating, >1M reviews, and 127 courses in 12 languages, we help engineers, leaders, and teams master the skills that power today’s AI revolution - then ship real results. We start where the real world starts: with large language models and the products they power. You’ll learn the foundations of AI and Generative AI (gen AI), then ship production-grade systems - chatbots, copilots, automations, and AI agents. We go deep on LLM engineering: retrieval (RAG), evaluation, observability, safety, and the patterns teams use to run agentic systems at scale. Our stack is practical and current. You’ll prototype fast with Python, LangChain, and LangGraph; explore models from OpenAI, Gemini, and Claude (including Claude Code); fine-tune and serve with Hugging Face and Ollama; and take it to production on AWS - from Bedrock to event-driven services. Need automation? We wire it together with n8n, clean interfaces, and CI/CD. Along the way you’ll master prompt engineering that holds up under load. Where this leads: roles that ship. AI Engineer and LLM Engineer for those who love building; platform and MLOps paths for those drawn to reliability at scale; product and leadership tracks for the people moving Agentic AI from slide decks to business outcomes. The through-line is the same: learn fast, build faster, measure everything, iterate. Start with our best selling course: AI Coder: Complete Claude Code & Coding Agents Course - build complete products at speed with AI coding agents like Claude Code, Cursor, Copilot and Codex, no coding background required. AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents - a hands-on path from your first prompt to production patterns: 20+ models, RAG, QLoRA fine-tuning, and agents with LangChain/LangGraph. AI Engineer Agentic Track: The Complete Agent & MCP Course - design, orchestrate, and deploy robust AI agents across OpenAI Agents SDK, CrewAI, LangGraph and MCP. AI Engineer Production Track: Deploy LLMs & Agents at Scale - scaling patterns for pipelines, monitoring, and enterprise rollout on AWS with Bedrock, Google Cloud Platform, Azure and MLOps. AI Builder: Create Agents, Voice Agents & Automations in n8n - wire up low-code AI agents, voice agents and business automations in n8n with ElevenLabs, RAG and MCP. Practical Guide to AI Agents & Agentic AI with Claude Cowork - build six working no-code AI agents on your real tools (Gmail, Slack, Notion, Calendar) with Claude Cowork and MCP. AI Leader: Generative AI & Agentic AI for Leaders & Founders - a concise playbook for strategy, governance, and ROI with Generative AI and agents. If your goal is to level up quickly and ship something real, join us. Learn the concepts, touch the tools, build the thing - then take it to users. That’s the Ligency way.

❓ FAQ

No written reviews yet. Be the first to review this course →