AI EngineeringBuild AI Agents
Autonomous AI agents represent the frontier of generative AI engineering. This course teaches developers, technical operators, and software engineers how to architect, configure, and tune autonomous multi-step AI agents: setting up system prompts, binding external tools and search APIs, managing conversational memory, implementing reasoning loops (ReAct/Plan-and-Solve), and fine-tuning agent behavior for deterministic production reliability.
About this course
Comprehensive certification training for Build AI Agents.
What you will be able to do
- 1. Factual / MCQ: Define the foundational operational concepts, industry terminology, and technical toolsets specific to Build AI Agents.
- 2. Factual / MCQ: Identify key performance indicators, formatting constraints, and standard architectural requirements in AI Engineering.
- 3. Applied / Short Answer: Demonstrate proficiency in configuring tools and executing hands-on workflows directly taught in the verified video.
- 4. Applied / Short Answer: Formulate structured prompt sequences and multi-step parameters to generate high-quality outputs for commercial use.
Course outline
- 01Agentic Architecture: LLMs, Tools, Planning & Memory LoopsFree preview
- 02 Locked
- 03 Locked
- 04 Locked
3 lessons, the full project brief and the grading rubric unlock when you enrol.
Assessment and certificate
After the lessons you take a readiness quiz on the material. Pass it and your practical project brief is released, graded against 5 clear criteria by the Academy team.
Once your project is approved, a signed certificate with a unique verification number is issued to your account.
Requirements
- A laptop or phone with a reliable internet connection.
- No prior experience required — each course starts from the fundamentals.
- Free versions of the tools covered are enough to complete the project.