Building Enterprise Agentic AI Applications

Unlock the power of Generative AI to revolutionize enterprise software with our engaging, hands-on
classroom course.  Empower your career with future-ready skills by building fully functional, scalable Agentic AI
Apps—one module at a time.

The Future is Agentic
Be the Architect.

“Building Enterprise Agentic AI Applications” is designed to transform Developers with Python skills into proficient creators of intelligent Enterprise grade Agentic AI Applications, that seamlessly automate complex business workflows. Through immersive projects and expert-led instruction, students gain deep practical experience with cutting-edge AI tools and architectures tailored for real-world impact.

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Best Suited For

Developers with Python skills

IT, tech, and automation professionals seeking an upskill in Gen AI

Beginners wanting hands-on experience in agentic AI and language model orchestration

Why this Course

Career Advancement

Unlock emerging roles such as AI Agent Architect, specializing in designing and orchestrating intelligent multi-agent systems.

Real Project Experience

Every module adds real functionality to an enterprise-grade CoPilot agent

Guided Mentorship

Expert-led sessions, peer reviews, and code walkthroughs

Industry Tools

Python, LLMs (GPT, Claude, Gemini, LLaMA), LangChain, RAG (FAISS, Pinecone, Chroma), Hugging Face, Streamlit, FastAPI, vector stores & agentic workflows

Tools you will master

openai
FastAPI
pinecone
Chroma
crew ai seek
langchain

Delivery Methods

Classroom-based instruction (in-person)
Code walkthroughs and hands-on labs
Collaborative peer review and presentations
Project milestone checks and final capstone demonstration

Frequently Asked Questions

Who should join this course?

Junior Python developers, tech professionals, and anyone looking to enter the Gen AI space for enterprise automation.

A functioning CoPilot agent with advanced document interaction capabilities, ready for practical deployment in an enterprise setting.

Python, major LLM APIs, LangChain, RAG workflows, and popular deployment frameworks like Streamlit and FastAPI.

Skill checks through project milestones, peer code reviews, and a final demonstration of your agent, leading to certification.

Yes—weekend classroom sessions and structured content make it ideal for those in full-time roles.

Be Among the First to
Master Agentic AI