Build intelligent agents, tool integration and multi-agent workflows.
Build intelligent agents, tool integration and multi-agent workflows.
Learn from experienced trainers who guide you step by step, from the basics to real projects.
Build hands-on projects based on real-world use cases to apply what you learn and strengthen your portfolio.
Get help with resume building, interview preparation and job search so you are ready for the job market.
Get an opportunity to gain practical, hands-on experience through an internship after the course.
Receive a certificate on completing the course to showcase your skills to employers.
Take part in a face-to-face interview with industry experts to get feedback and build confidence for real interviews.
AI agents go beyond chat: they can plan, use tools and complete tasks on their own. In this course you will learn how agents work, how to connect them to tools and data, and how to design workflows where several agents cooperate. The course ends with real-world agentic projects that you build, test and deploy.
Python
LLM APIs
LangChain / LangGraph
Function Calling
Vector Databases
FastAPI
Docker
GitHubBuild an agent that searches the web, reads sources and writes a short summary report.
What you will do
Skills you will use
An agent that researches a topic on the web and writes a short summary report.
Create an agent that uses APIs, files and databases to complete everyday business tasks.
What you will do
Skills you will use
An agent that completes everyday business tasks by using tools on its own.
Combine planner, worker and reviewer agents to finish a multi-step task together.
What you will do
Skills you will use
A team of planner, worker and reviewer agents that finish a multi-step task together.
Design, test and deploy an agentic application for a real use case, then present your results.
What you will do
Skills you will use
A tested and deployed agentic application for a real use case, presented to an audience.
Start your Data and AI journey with Python, Statistics, SQL and machine learning.
Real agentic AI projects and a certificate that help you stand out in campus and off-campus interviews.
A smooth step from data science to building AI agents that complete tasks on their own.
The skills to automate real business tasks with agents you can test, guard and deploy.
The ability to move from chat applications to agents that plan, use tools and finish tasks.
Prepare to take your skills into the job market through:
Knowing Python basics is a plus (functions, data types, files and basic OOP), along with working with APIs and JSON. Basic LLM and prompting knowledge is helpful, and Course 5: Generative AI, LLMs & RAG is recommended.
Degree freshers (BCA, BSc CS, BE/BTech, MCA, MSc CS, MTech), Intermediate Track students ready for cutting-edge AI, developers and professionals who want to automate work with AI agents, and learners who have built basic LLM apps and want to go further.
Four months, planned as a 16-week roadmap from agent fundamentals to multi-agent systems and a deployed capstone project.
Agents that use tools, APIs and data, add memory and planning, and work together in multi-agent workflows, with testing and safety guardrails.
Yes. You receive a certificate on completion, and an internship opportunity is part of the program.
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For any queries, you can WhatsApp us at +91 78925 81597
For any queries, you can mail us at contact@lpoint.in
