About course
Build Intelligent AI Agents
The Agentic AI Career Track is an intensive 18-week, project-driven program designed for learners who already possess working knowledge of Python and want to specialize in building intelligent AI agents and production-ready AI systems. This program focuses entirely on modern Agentic AI development, taking you from the fundamentals of Large Language Models (LLMs) to advanced multi-agent orchestration, evaluation, deployment, and AI engineering best practices.
Unlike traditional AI courses that focus primarily on machine learning theory, this program emphasizes hands-on implementation. Learners will build, test, evaluate, and deploy real-world AI agents using industry-standard frameworks and tools such as OpenAI APIs, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Vector Databases, LangSmith, and FastAPI.
Throughout the course, students will work on practical projects that simulate real-world AI engineering challenges, including tool-calling agents, memory-enabled assistants, research agents, support automation systems, retrieval-based AI applications, and production-grade multi-agent systems.
What Makes This Program Different?
Unlike traditional AI courses that focus primarily on machine learning algorithms and academic concepts, this program focuses on Agentic AI development—the discipline of building intelligent systems that can reason, plan, remember, communicate, and act autonomously.
Students will learn how to:
- Design intelligent AI agents capable of solving complex tasks.
- Integrate external tools and APIs into AI workflows.
- Implement memory systems for long-term context retention.
- Build Retrieval-Augmented Generation (RAG) applications.
- Create multi-agent systems that collaborate efficiently.
- Develop production-grade AI applications with monitoring and observability.
- Deploy AI systems using modern cloud-native technologies.
- Evaluate, test, and improve agent performance in real-world environments.
What You'll Learn
The Tech Stack You Will Master
Frameworks & Orchestration: LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex
APIs & Models: OpenAI APIs, Claude Agent APIs
Databases & Memory: Pinecone, Weaviate, pgvector
Observability & Ops: LangSmith, Langfuse, Docker, FastAPI
Career Outcomes
- Agentic AI Engineer
- AI Engineer
- LLM Engineer
- AI Application Developer
- AI Solutions Engineer
- AI Automation Engineer
- AI Product Developer
Career Acceleration
This program goes beyond technical training.
Learners receive structured guidance on:
- Portfolio Development
- Resume Building
- LinkedIn Optimization
- Technical Interview Preparation
- Mock Interviews
- Job Search Strategy
- Referral Outreach
- AI Engineer Career Positioning
