Course Design By
Nasscom & Wipro
At the end of the Agentic AI Training in Chennai, you will be able to:
Understand the basics of Agentic AI.
Learn the working of AI agent architecture.
Develop AI agents from scratch.
Create AI systems autonomously.
Work with Large Language Models (LLMs).
Learn about prompt engineering.
Make RAG applications.
Design and manage multi-agent systems.
Integrate APIs into AI applications.
Automate business processes with the help of AI.
Work with vector databases.
Deploy AI applications on cloud platforms.
Popular Agentic AI frameworks.
AI reasoning and decision-making.
Developing autonomous AI applications.
Automating business processes.
Effective use of AI memory.
Developing workflows involving multiple agents.
Working with vector databases.
Using APIs with AI applications.
Deploying AI applications on cloud platforms.
Through hands-on projects.
Instructor-led live classes.
Practical training sessions.
Curriculum based on industrial needs.
Projects in AI.
Interactive laboratory sessions.
Development of AI agents.
Live coding exercises.
Latest AI frameworks & tools.
Interview Preparation.
Resume Building Assistance.
Certificate Assistance.
Classes Available on Weekdays & Weekends.
Access to Learning Resources for Lifetime.
Candidates having passed 12th grade.
College Students.
Graduates.
B.Tech Students.
BCA Students.
MCA Students.
B.Sc. (Computer Science/IT).
M.Tech Students.
M.Sc. (Computer Science/IT).
Software Developers.
Python Developers.
AI & Machine Learning professionals.
Data Analysts.
Data Scientists.
Cloud Engineers.
DevOps Engineers.
Automation Engineers.
IT Professionals.
Working Professionals.
Career Changers.
Students.
Graduates.
Software Developers.
Python Developers.
AI Engineers.
Machine Learning Engineers.
Data Scientists.
Data Engineers.
Cloud Engineers.
Automation Engineers.
DevOps Engineers.
Business Analysts.
Technical Consultants.
Working Professionals.
Career Switchers.
Decision Making Intelligence: Agents of artificial intelligence can process massive amounts of information, comprehend business goals, and make decisions based on data very quickly.
Workflow Automation: Agentic AI is used for automating repetitive business processes to reduce manual effort and to allow people to do more productive tasks.
Improved Customer Satisfaction: With the help of agents of artificial intelligence, customers can get quick and personalized answers along with round-the-clock assistance.
Faster Data Processing: In just a few seconds, agentic AI technology can process vast datasets and make informed business decisions.
Multitasking Capabilities: As compared to conventional automation technologies, which only do one thing at a time, agentic AI systems can coordinate many tasks simultaneously and adjust according to the business needs.
Agentic AI Developer.
AI Engineer.
Generative AI Engineer.
AI Application Developer.
LLM Engineer.
AI Automation Engineer.
Prompt Engineer.
Machine Learning Engineer.
AI Solutions Developer.
AI Integration Engineer.
AI Consultant.
Python AI Developer.
Python: Programming with Python for developing intelligent AI applications, automation, and autonomous AI agents.
OpenAI API: Integration of Large Language Models into applications and building AI assistants that can perform complex tasks.
LangChain: Building AI workflows through connecting language models with APIs, databases, documents, and other third-party tools.
LangGraph: Creating advanced multi-agent systems where different AI agents can work together to achieve business workflows.
CrewAI: Understanding how different AI agents communicate with each other, delegate tasks, and collaborate effectively.
AutoGen: Creating autonomous AI agents that can plan, reason and complete workflows autonomously.
Pinecone: Understanding semantic search, vector database technology, and RAG (Retrieval Augmented Generation).
ChromaDB: Building AI knowledge bases and performing intelligent document retrieval using embeddings.
FastAPI: Build fast APIs that can be used to connect AI models within the business software.
Docker: Package and deploy AI programs in containerized form.
GitHub: Organize code, collaboration, and version control for AI projects.
Visual Studio Code (VS Code): One of the most widely used development tools for writing Agentic AI applications.
AI Customer Support Agent.
AI Resume Screening System.
AI Research Assistant.
AI Email Automation Agent.
AI Travel Planner.
AI Document Analysis Tool.
AI Knowledge Chatbot.
AI Workflow Automation System.
Multi-Agent Task Management Platform.
AI Personal Assistant.
Coding every day.
Building AI applications.
Live demo.
Business cases.
Mini-projects.
Capstone Project of the Industry.
Lab sessions.
Project review.
Doubt clarification session.
Interview Preparation.
Certification guidance.
Practice assessments.
Mock interviews.
Resume writing support.
LinkedIn profile optimization.
Career mentoring.
Freshers 7,000 to 14,000 per year
13 Years Experience 14,000 to 24,000 per year
Experienced Professionals 24,000 to 48,000+ per year
Practical AI development skills.
Strong project portfolio.
Python programming expertise.
Large Language Model (LLM) knowledge.
Prompt engineering skills.
Agentic AI development experience.
Cloud computing knowledge.
Communication skills.
Professional certifications.
Experienced industry trainers.
Updated course curriculum.
Practical assignments.
Live AI projects.
Industry-focused learning.
Flexible batch timings.
Weekday and weekend classes.
Online and classroom training.
Certification support.
Resume preparation.
Mock interview sessions.
Placement assistance.
Lifetime access to learning resources.
Modern lab facilities.
Personalized career mentoring.
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
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Yes. This course starts from the basics and then advances towards advanced Agentic AI concepts and thus is apt for both beginners and professionals alike.
No. Knowledge of programming will help you but isn't mandatory as the course starts from the basics.
Yes. Multiple projects are involved which help you gain practical exposure in developing AI applications.
Yes. Certificate and guidance regarding certification is provided to all learners.
Yes. Weekday and weekend batches are offered.
You will get practical experience with tools such as Python, OpenAI API, LangChain, LangGraph, CrewAI, AutoGen, Pinecone, ChromaDB, FastAPI, Docker, GitHub, VS Code, and many more.
Yes. Placement is provided along with resume preparation and mock interviews in the training program.
Some of the projects that you will do include AI Customer Support Agents, AI Resume Screening System, AI Research Assistants, AI Workflow Automation System, AI Knowledge Chatbots, AI Email Automation Agents, and Multi-agent task management platform.
Anyone who wants to take up Agentic AI Training Institute in Chennai can enroll including students, graduates, software developers, Python developers, AI professionals, cloud engineers, DevOps engineers, automation engineers, data professionals, and working professionals.
Job roles that you can apply include Agentic AI Developer, AI Engineer, LLM Engineer, Prompt Engineer, AI Automation Engineer, AI Solutions Developer, AI Consultant, AI Integration Engineer, Generative AI Engineer, and Python AI Developer.

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