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Artificial Intelligence Course in Chennai with Certification

Learn practical Artificial Intelligence training in Chennai with a focus on agentic AI, Generative AI, LangChain, OpenAI API, Hugging Face, Pinecone, and deployment workflows. You will build real agent systems, connect tools, manage memory, and ship projects that match current AI training needs in Chennai.

4.7/5 from 1,432 reviews
Learn agentic AI from the ground up with real use cases.
Work with OpenAI API, LangChain, Hugging Face, and Pinecone.
Build projects around memory, tools, function calling, and deployment.
Understand LangGraph, AutoGen, CrewAI, and production workflows.
Get certification support, resume help, and placement guidance in Chennai.
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Freshers to IT

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Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999

In 60 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online

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1 Hour Training Session

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Placement Assistance for Artificial Intelligence Professionals in Chennai

Learning AI is only useful when it leads to interviews and project work. Inventateq supports Artificial Intelligence training in Chennai with placement guidance that focuses on job-ready skills, portfolio readiness, and role-specific preparation.

Our Signature Career Support:

  • Resume preparation for AI, data, and analytics roles
  • Project portfolio guidance based on agentic AI and Generative AI work
  • Mock interviews for entry-level and experienced candidates
  • Career mentoring for roles like Data Analyst, AI Developer, and Business Analyst
  • Placement support aligned to Chennai hiring needs and job roles

Artificial Intelligence Salary Insights in Chennai

AI, analytics, and automation roles in Chennai are commonly hired across IT services, product teams, and data-driven business functions. Salary grows as you move from project execution to design, deployment, and leadership responsibilities.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Chennai?

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Success Result: Our students are competing at global levels. Watch their placement journey here.

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About Inventateq Artificial Intelligence Training Institute in Chennai

Inventateq teaches Artificial Intelligence in Chennai with a practical sequence that starts with agentic AI basics and moves into prompt engineering, tool use, memory, multi-agent systems, guardrails, evaluation, and deployment. The training stays close to what learners actually need to build, debug, and present AI projects using OpenAI API, LangChain, LangGraph, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment.

We stand apart through our commitment to:

  • Build AI agents that can reason, act, and use tools
  • Learn prompt design, function calling, and structured outputs
  • Work on memory, retrieval, and multi-agent workflows
  • Get mentor support for projects, doubts, and interview readiness
  • Choose flexible classroom or live online training in Chennai
 classes
Live Online
Remote Learning

AI Online Live Classes

Our live online Artificial Intelligence training is available from Chennai with the same structured syllabus, project work, and mentor support. You can attend classes from home, ask questions in real time, and complete the same hands-on exercises used in the classroom batches.

Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support

Artificial Intelligence Training Program in Chennai

Fresh graduates

Good for beginners who want an AI, data, or analytics career path with structured training.

Working professionals

Useful for professionals moving into AI projects, automation, or GenAI-based roles.

Data and business analysts

Helps analysts learn tools, agents, and deployment workflows used in modern AI projects.

Software and Python learners

Fits learners who already know basics and want to apply Python to AI systems.

Career switchers

Suitable for non-AI backgrounds if you want a practical route into job-oriented training.

Quick Highlights of Inventateq Artificial Intelligence Course in Chennai

Course Duration

  • Duration: Structured around weekly modules and guided project work.

  • Mode: Available in classroom and live online formats.

  • Training style: Theory, practicals, assignments, and project sessions.

  • Support: Mentor guidance throughout the learning process.

No prior AI project experience is needed to start this course.

Artificial Intelligence Course Curriculum in Chennai

1. Week 1: Introduction to Agentic AI (Week 1)

W1
  • Trace the path from NLP to LLMs, chatbots, and agents
  • Understand what agency means in AI systems
  • Study the LLM as the brain with perception and action
  • Learn the ReAct pattern for reasoning and acting
  • Review limits such as hallucinations, cost, and latency

2. Week 2: Prompt Engineering for Agents (Week 2)

W2
  • Use system prompts for role-based behavior
  • Practice Chain-of-Thought and Tree-of-Thought prompting
  • Create structured outputs with JSON mode and function calling
  • Compare XML tagging with JSON instructions
  • Build a research agent that uses structured function calling

3. Week 3: Tools and Function Calling (Week 3)

W3
  • Define tools and functions using schemas
  • Use parallel function calling where tasks can run together
  • Choose tools based on the task and workflow
  • Handle tool errors in a controlled way
  • Connect the agent to actions outside the model

4. Week 4: Memory Architectures (Week 4)

W4
  • Differentiate short-term context from long-term storage
  • Use vector databases for long-term memory
  • Apply semantic memory through RAG for agents
  • Store episodic memory as past actions and outcomes
  • Manage state inside loops and agent workflows

5. Week 5: Frameworks for Agent Development (Week 5)

W5
  • Review LangChain, LangGraph, AutoGen, and CrewAI
  • Compare chains, agents, and graph-based workflows
  • Understand the pros and cons of each framework
  • Port a ReAct loop into LangGraph
  • Choose the right abstraction level for the use case

6. Week 6: Planning and Complex Workflows (Week 6)

W6
  • Build plan-and-execute style agent flows
  • Use Reflexion for self-critique and iteration
  • Study LLMCompiler for faster parallel execution
  • Handle dynamic workflows with care
  • Compare dynamic flows with DAG-based designs

7. Week 7: Multi-Agent Systems (Week 7)

W7
  • Learn why multiple specialized agents are useful
  • Study manager-worker, debate, and sequential handoff models
  • Design communication protocols between agents
  • Use AutoGen for conversable agents
  • Use CrewAI for role-based collaboration

8. Week 8: Human-in-the-Loop and Guardrails (Week 8)

W8
  • Set breakpoints and interrupts in autonomous flows
  • Add approval steps before destructive actions
  • Use input and output guardrails for control
  • Review NeMo Guardrails and Guardrails AI
  • Limit token spend and loop iterations through budget control

9. Week 9: Evaluation and Observability (Week 9)

W9
  • Understand why agent evaluation is difficult
  • Compare trajectory evaluation with final outcome checks
  • Use LangSmith and Phoenix Arize for monitoring
  • Trace latency, token usage, and failure points
  • Learn how observability helps debug agent behavior

10. Week 10: Advanced Architectures (Week 10)

W10
  • Study BabyAGI and AutoGPT style autonomous agents
  • Use code-as-action with Python in a sandbox
  • Explore multimodal agents for vision and audio
  • Review web navigation agents with Playwright and Selenium
  • Build a data analyst agent that reads CSVs and generates visualizations

11. Week 11: Production Deployment (Week 11)

W11
  • Compare streaming and blocking responses
  • Work with async agents using AsyncIO
  • Use Docker for sandboxing and deployment
  • Scale agents horizontally when needed
  • Build FastAPI endpoints and deploy to cloud platforms like Render or AWS

12. Generative AI Foundation and OpenAI API (Week 12)

W12
  • Start with the introduction to generative AI
  • Learn OpenAI and its API basics
  • Understand how to connect API usage to real applications

13. LangChain, Hugging Face, and Memory (Week 13)

W13
  • Study LangChain fundamentals and applications
  • Work with Hugging Face API alongside LangChain
  • Learn memory handling in LangChain workflows

14. Vector Databases, Pinecone, and Open Source LLMs (Week 14)

W14
  • Understand vector databases for AI and LLM use
  • Practice Pinecone for retrieval use cases
  • Review open-source LLM models and when to use them

15. Project Build, Deployment, and Medical Chatbot (Week 15)

W15
  • Complete a generative AI project
  • Deploy the project with guided support
  • Build an end-to-end medical chatbot
  • Finish the deployment part of the chatbot project
  • Use buffer time for revision and completion

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Chennai?

Inventateq focuses on practical learning that matches the structure of real AI work. Students in Chennai learn by building agents, working with APIs and frameworks, and applying deployment and evaluation concepts in a guided way.

Why Students Trust Inventateq Chennai

  • Trainers explain AI topics from fundamentals to project execution
  • Curriculum covers current tools used in agentic AI and Generative AI
  • Classes stay practical with assignments, projects, and reviews
  • Students receive support for resume preparation and interviews
  • The learning environment is structured, responsive, and beginner-friendly

Build Practical Artificial Intelligence Skills That Lead to Real Roles

This course gives you direct practice with agent workflows, prompt design, memory, retrieval, evaluation, and deployment. You finish with project experience that you can explain in interviews and add to your portfolio.

Build AI Agents

Learn to create agents that can reason, use tools, and follow multi-step workflows. The course covers ReAct, function calling, and frameworks like LangGraph and AutoGen.

Work With Real AI Tools

Use OpenAI API, LangChain, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment tools in guided practice. This makes the training useful for real project work.

Understand Memory and Retrieval

Learn how vector databases, RAG, and memory architectures support long-running AI systems. You will see how agents remember context, history, and outcomes.

Handle Multi-Agent Systems

Study manager-worker, debate, and sequential handoff patterns. These are important when building systems with multiple specialized agents.

Improve Debugging and Evaluation

Learn how to trace failures, monitor latency, and compare evaluation approaches. This helps you understand why an AI workflow works or breaks.

Prepare for Interviews and Projects

The course includes assignment-based learning, project deployment, and review support. You can present your work clearly for AI, analytics, and automation roles.

Certification for Artificial Intelligence Training

This certification confirms that you have completed structured training in agentic AI, Generative AI, and related project workflows. It helps show employers that you have hands-on exposure to current tools and practical AI application work.

OpenAI API and prompt engineering

Earn this certificate upon successful completion of our training program.

LangChain, LangGraph, AutoGen, and CrewAI workflows

Validate your skills with recognized industry credentials.

Pinecone and vector database usage

Earn this certificate upon successful completion of our training program.

FastAPI, Docker, and deployment basics

Validate your skills with recognized industry credentials.

Detailed Insights: Artificial Intelligence Training in Chennai

Students Frequently Asked Questions

Is this Artificial Intelligence course in Chennai suitable for beginners?

Yes, beginners can join if they want a structured start in AI. The course begins with the basics of agentic AI, prompt engineering, and core concepts before moving into frameworks and deployment.

Will I work on real projects during the training?

Yes, the syllabus includes hands-on work such as a research agent, a data analyst agent, a generative AI project, and a medical chatbot project. These projects help you practice the tools and workflows covered in class.

Does Inventateq provide placement assistance for Artificial Intelligence roles in Chennai?

Yes, placement support is part of the course approach. You get help with resumes, mock interviews, project presentation, and role-based guidance for AI and analytics positions.

Can non-technical students join this AI course?

Yes, non-technical learners can join if they are willing to learn step by step. The training is structured so you can understand the concepts, tools, and project flow before moving to more advanced topics.

Is live online training available for students in Chennai?

Yes, live online classes are available for learners in Chennai. You can attend sessions in real time, ask questions, and complete the same practical exercises used in classroom batches.

How long is the Artificial Intelligence course?

The syllabus is organized into weekly modules, followed by project and deployment work. The exact batch pace can vary, but the course is designed to move from fundamentals to production-oriented topics in a clear sequence.

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