- 1. Python foundations (40 h)
- 2. RAG & search (25–30 h)
- 3. Agentic AI: agent development (50–60 h)
- 4. LLMOps (20–30 h)
Agentic AI courses teach you to build systems that plan and act with tools. Here is how to choose and in what order to learn. Details checked October 2026.
| Course | Level | Study time | From (CAD) |
|---|---|---|---|
| Agentic AI: Intro to Agent Development | Beginner (with coding basics) | 50–60 h | $949 |
| AI Engineer: Intro to RAG & Search | Intermediate | 25–30 h | $549 |
| LLMOps: Fundamentals of LLMOps | Beginner | 20–30 h | $479 |
| Python Programming Foundations | Beginner | 40 h | $549 |
What a good agentic AI course covers
- Planning and tool use
- Retrieval (RAG) for grounded answers
- Guardrails, permissions and human approval
- Evaluation, monitoring and cost control
New to the topic? Read what is agentic AI and is AI engineering hard to learn?
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View the Agentic AI course →Frequently asked questions
What is the best agentic AI course?
Choose one that includes hands-on agent projects, retrieval and evaluation, such as Agentic AI: Intro to Agent Development.
Do I need Python for agentic AI?
Yes, Python and basic API skills are the usual prerequisites.
How long does it take to learn agent development?
About 50 to 60 hours for the core course, plus practice.
Is agentic AI a good career skill?
Yes, companies increasingly build AI features that take actions, which requires these skills.
Related guides
- AI Engineer Courses: Learn RAG, LLMOps and AI Agent Development
- What Is Agentic AI? A Simple Explanation and How to Learn It
- What Is RAG (Retrieval-Augmented Generation)? Explained for Beginners
- Is AI Engineering Hard to Learn? Skills, Prerequisites and Timeline
- Coding Bootcamp Cost in Canada: Full Price Breakdown (2026)
- Course Finder: compare all courses
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