Agentic AI Engineering
Agentic AI Engineering
This course empowers learners to design, build, and deploy AI agents capable of reasoning, collaborating, and automating real-world workflows.
You’ll gain hands-on experience with LLMs, prompts, and agent frameworks like OpenAI Agents SDK, CrewAI, LangGraph, and AutoGen.
Through progressive projects, you’ll create agents that perform research, manage business operations, automate workflows, and even build other agents.
By the end, you’ll have a portfolio of deployable AI systems and the skills to start freelancing or working in AI automation roles.
English
100+ Lectures
What you'll learn
This course includes
Learn Agentic AI: Understand real-world autonomous systems & their potential.
Hands-On Projects: Build 7 real AI agents — from personal to business tools.
Core Foundations: Master LLMs, prompts, and essential Python skills.
Top Frameworks: Train with OpenAI Agents SDK, CrewAI, LangGraph & AutoGen.
Capstone Build: Create a full deployable multi-agent AI system.
Career Ready: Learn deployment, testing & freelancing with AI tools.
- 6 Sections
- 32 Lessons
- 50h Duration
Module 1: Introduction to Agentic AI
Module 2: Foundations of LLMs & Prompt Engineering
Module 3: Building with Agent Frameworks
Module 4: Project Series – Agent Development
- Project 1: Personal Career Twin Agent
- Project 2: Business Sales Agent (Email & Lead Automation)
- Project 3: Research Agent Team (Collaborative AI Research)
- Project 4: Domain-Specific Agent (Freelancing or Local Business)
- Project 5: Engineering Agent Team (Multi-Agent Software Builders)
- Project 6: Operator Agent (Workflow/Browser Assistant)
- Project 7: Agent Creator Agent (Meta-Agent that Builds Agents)
Module 5: Capstone & Deployment
This course empowers learners to design, build, and deploy AI agents capable of reasoning, collaborating, and automating real-world workflows.
You’ll gain hands-on experience with LLMs, prompts, and agent frameworks like OpenAI Agents SDK, CrewAI, LangGraph, and AutoGen.
Through progressive projects, you’ll create agents that perform research, manage business operations, automate workflows, and even build other agents.
By the end, you’ll have a portfolio of deployable AI systems and the skills to start freelancing or working in AI automation roles.
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