Agentic AI: Building Agents
40 hoursIntermediate7 modules
1 of 7 modules with a published syllabus
0 of 7 modules recorded
Syllabus
Works through the operational definition of an agent — an LLM plus tools plus a loop —, the practical distinction between a chatbot and an agent, and then the three modules that make up the engineering of the subject: function calling and tool use, memory and state, and the orchestration frameworks. The AI APIs and prompt engineering module comes in as shared groundwork, and agent security (prompt injection, sandboxing) closes it, because an agent holding tools is an attack surface.
Modules of this programme
The same objects as the full curriculum. A module opened from any programme that contains it is the same module, with the same syllabus and the same status.
| Code | Module | Content | Hands-on | Status | Price |
|---|---|---|---|---|---|
| AG-101 | What agents are: LLM + tools + loop | Detailed syllabus not written yet | — | Syllabus published | |
| AG-102 | Chatbots vs. agents (hands-on with APIs) | Detailed syllabus not written yet | — | Syllabus published | |
| CORE-205 | AI APIs and prompt engineering | OpenAI/Anthropic/OSS, function calling, cost | A CLI app that calls an LLM through an API | Syllabus published | R$ 180US$ 60MX$ 750estimated price0 of 1 module published |
| AG-201 | Function calling and tool use | Detailed syllabus not written yet | — | Syllabus published | |
| AG-202 | Agent memory and state | Detailed syllabus not written yet | — | Syllabus published | |
| AG-203 | Frameworks (LangGraph, CrewAI, agent SDKs) | Detailed syllabus not written yet | — | Syllabus published | |
| AG-304 | Agent security (prompt injection, sandboxing) | Detailed syllabus not written yet | — | Syllabus published |
- AG-101Syllabus published
What agents are: LLM + tools + loop
Detailed syllabus not written yet
- AG-102Syllabus published
Chatbots vs. agents (hands-on with APIs)
Detailed syllabus not written yet
- CORE-205Syllabus published
AI APIs and prompt engineering
- Content
- OpenAI/Anthropic/OSS, function calling, cost
- Hands-on
- A CLI app that calls an LLM through an API
R$ 180US$ 60MX$ 750estimated price0 of 1 module published
- AG-201Syllabus published
Function calling and tool use
Detailed syllabus not written yet
- AG-202Syllabus published
Agent memory and state
Detailed syllabus not written yet
- AG-203Syllabus published
Frameworks (LangGraph, CrewAI, agent SDKs)
Detailed syllabus not written yet
- AG-304Syllabus published
Agent security (prompt injection, sandboxing)
Detailed syllabus not written yet
Not everything fits into 40 hours. State of the art, distributed training, interpretability, edge deployment and the five integrative projects exist only inside the complete tracks: Tracks