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Artificial Intelligence Course in Chandigarh with Certification

Learn Artificial Intelligence Training in Chandigarh with a practical focus on agentic AI, Generative AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment. You will build working agents, structured prompts, memory-based workflows, and production-style AI projects that match what employers ask for in Chandigarh.

4.7/5 from 1,432 reviews
5 weeks of structured AI and agentic workflow training from fundamentals to deployment
Hands-on work with OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Pinecone, and FastAPI
Build a Research Agent, Data Analyst Agent, and end-to-end Generative AI project
Learn memory, tool calling, RAG, guardrails, observability, and multi-agent design
Certification support plus placement guidance for AI and data-focused roles in Chandigarh
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Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

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 Chandigarh

Learning AI is only useful when you can show real work and explain it clearly in an interview. Inventateq helps you connect the syllabus to job-ready output, from agent design and deployment to the resume story behind each project.

Our Signature Career Support:

  • Resume building around AI projects, tools, and deployment work
  • Portfolio guidance for agentic AI, Generative AI, and chatbot projects
  • Mock interviews based on roles like Data Analyst, AI Analyst, and Junior AI Developer
  • Mentor feedback on project presentation, GitHub structure, and use-case explanation
  • Placement guidance for entry-level and mid-level AI, analytics, and automation roles

Artificial Intelligence Salary Insights in Chandigarh

In Chandigarh, AI training can lead into analytics, automation, chatbot, and product-support roles across IT services, startups, and data-driven businesses. Salary grows with hands-on tool usage, project depth, and the ability to deploy and explain AI systems clearly.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Chandigarh?

4.7/5 Google Rating | 1,432+ Verified Reviews

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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 Chandigarh

Inventateq keeps Artificial Intelligence training practical. The course follows the actual progression in the syllabus: prompt engineering, tools and function calling, memory, frameworks like LangChain and LangGraph, multi-agent systems, guardrails, evaluation, and deployment. You work on real AI workflows instead of only reading theory.

We stand apart through our commitment to:

  • Learn AI by building agents, chatbots, and workflow-based projects
  • Train on tools used in the syllabus, not just slide-based concepts
  • Get guidance on project framing, GitHub, and interview presentation
  • Study with mentor support that explains each step clearly
  • Choose weekday, weekend, classroom, or live online learning formats
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online classes from Chandigarh are designed for learners who want the same practical training without commuting. Sessions are interactive, mentor-led, and built around exercises, project work, and doubt resolution in real time.

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 Chandigarh

Students

Students who want a practical AI course that goes beyond theory and includes project work.

Fresh graduates

Graduates looking to move into AI, analytics, or automation roles with real tools on their resume.

Working professionals

Professionals who want to learn agentic AI, Generative AI, and deployment workflows.

Non-technical learners

Learners from other backgrounds who want a structured start with clear mentor support.

Job seekers

Candidates who need project guidance, certification, and interview preparation for AI roles.

Quick Highlights of Inventateq Artificial Intelligence Course

Course Duration

  • Duration: Structured around module-wise AI training and project work.

  • Mode: Offline classroom and live online options available in Chandigarh.

  • Training style: Hands-on sessions with examples, assignments, and guided practice.

  • Project focus: Includes agent building, chatbot development, and deployment work.

No prior AI experience is needed. You can start from the basics and grow step by step.

Artificial Intelligence Curriculum in Chandigarh

1. Introduction to Agentic AI (Week 1)

W1
  • Understand how AI evolved from NLP to LLMs, chatbots, and agents
  • Define agency through autonomy, goal-directed behavior, and tool use
  • Learn the main components of an agent: brain, perception, and action
  • Study the ReAct pattern and the basic risks of hallucination, cost, and latency

2. Prompt Engineering for Agents (Week 2)

W2
  • Use system prompts for role-based behavior
  • Practice Chain-of-Thought and Tree-of-Thought prompting
  • Work with structured output using JSON mode and function calling
  • Compare XML tagging with JSON instructions
  • Build a Research Agent that uses structured function calling to scrape information

3. Tools and Function Calling (Week 3)

W3
  • Define tools and functions using schemas
  • Use parallel function calling for better agent flow
  • Choose tools based on the task and control the selection strategy
  • Handle tool errors in a safe and structured way

4. Memory Architectures (Week 4)

W4
  • Differentiate short-term context memory from long-term vector database memory
  • Apply semantic memory for RAG-based agent behavior
  • Store episodic memory as past actions and outcomes
  • Manage state across loops and long-running workflows

5. Agentic Frameworks (Week 5)

W5
  • Review LangChain, LangGraph, AutoGen, and CrewAI
  • Understand the difference between chains, agents, and graphs
  • Compare the strengths and limits of each framework
  • Port a ReAct loop into LangGraph as a hands-on exercise

6. Planning and Complex Workflows (Week 6)

W6
  • Study plan-and-execute architecture for multi-step tasks
  • Use Reflexion for self-critique and iteration
  • Learn LLMCompiler ideas for optimized parallel execution
  • Work with dynamic workflows and compare them to DAG-based logic

7. Multi-Agent Systems (Week 7)

W7
  • Understand why specialization matters in multi-agent design
  • Learn manager-worker, peer-to-peer, and sequential handoff structures
  • Design communication protocols between multiple agents
  • Use AutoGen and CrewAI as framework examples for collaboration

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

W8
  • Add breakpoints and interrupts to agent workflows
  • Create approval steps before destructive actions
  • Apply input and output guardrails using NeMo Guardrails and Guardrails AI
  • Limit token spend and loop iterations with budget control

9. Evaluation and Observability (Week 9)

W9
  • Learn why evaluating agents is hard because they are non-deterministic
  • Compare trajectory evaluation with final outcome evaluation
  • Use LangSmith and Phoenix Arize for tracing and debugging
  • Inspect latency, token usage, and failure points in a graph

10. Advanced Architectures (Week 10)

W10
  • Study autonomous agent patterns like BabyAGI and AutoGPT
  • Use code-as-action where agents write and execute Python in a sandbox
  • Explore multimodal agents that work with vision and audio
  • Review web navigation agents with Playwright and Selenium
  • Build a Data Analyst Agent that reads CSV data, writes Python code, and generates visualizations

11. Production Deployment (Week 11)

W11
  • Understand streaming and blocking responses
  • Use AsyncIO for asynchronous agents
  • Containerize agent sandboxes with Docker
  • Scale agents horizontally and design API endpoints
  • Deploy a multi-agent service with a FastAPI wrapper on a cloud platform like Render or AWS

12. Generative AI Foundations (Week 12)

W12
  • Get introduced to Generative AI concepts and course flow
  • Work with the OpenAI API
  • Start using LangChain for practical AI applications
  • Connect Hugging Face API with LangChain workflows

13. Vector Databases and LLM Apps (Week 13)

W13
  • Study memory in LangChain and use it in GenAI projects
  • Learn vector databases for AI and LLM use cases
  • Practice with Pinecone for vector storage and retrieval
  • Work with open-source LLM models
  • Create and deploy an end-to-end medical chatbot project

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Chandigarh?

Inventateq keeps the learning path practical and job-focused. You study the real building blocks of AI systems, then apply them in projects that use the same tools and patterns covered in the syllabus.

Why Students Trust Inventateq Chandigarh

  • Trainers explain AI concepts in a simple, structured way
  • The curriculum is updated around current agentic AI and Generative AI workflows
  • Students get support during practice, projects, and interview preparation
  • The learning environment is practical and suitable for beginners as well as working professionals
  • The course is designed to help learners move from training into real job roles

Build Practical Artificial Intelligence Skills for Real Job Roles

By the end of the course, you will have worked on AI agents, structured prompts, memory-based workflows, chatbot-style applications, and deployment tasks. The focus is on doing the work, not just hearing about it.

Build Working AI Agents

Learn how to design agents that can reason, call tools, manage memory, and complete tasks with structured workflows.

Create Real Generative AI Projects

Work on projects like research agents, chatbots, and data-focused AI applications using practical tools and APIs.

Use Frameworks Employers Recognize

Get hands-on exposure to LangChain, LangGraph, AutoGen, CrewAI, and related ecosystem tools.

Handle Memory and RAG Workflows

Understand short-term and long-term memory, vector databases, and retrieval-based AI behavior.

Deploy AI Applications

Learn how to move a project into a usable service with FastAPI, Docker, async handling, and cloud deployment basics.

Present Your Work Clearly

Develop the ability to explain your design choices, tools used, and project outcomes in interviews.

Artificial Intelligence Course Certification in Chandigarh

This certification shows that you have completed a structured AI training program covering agentic AI, Generative AI, frameworks, memory, deployment, and project work. It helps employers see that you have practical exposure to the tools and workflows used in the course.

OpenAI API and prompt engineering

Earn this certificate upon successful completion of our training program.

LangChain, LangGraph, AutoGen, and CrewAI

Validate your skills with recognized industry credentials.

Pinecone and vector database workflows

Earn this certificate upon successful completion of our training program.

FastAPI, Docker, and cloud deployment basics

Validate your skills with recognized industry credentials.

Detailed Insights: Artificial Intelligence Course in Chandigarh

Students Frequently Asked Questions

Is this Artificial Intelligence course in Chandigarh suitable for beginners?

Yes. The course starts with the basics of agentic AI, prompt engineering, and core concepts before moving into frameworks and deployment. Beginners can follow it if they are willing to practice regularly and complete assignments.

Will I get hands-on projects in this Artificial Intelligence training?

Yes. You will work on a Research Agent, a Data Analyst Agent, and Generative AI projects including chatbot-style workflows. The syllabus also includes deployment exercises so you can show usable project work.

Does Inventateq provide placement assistance for Artificial Intelligence roles?

Yes. Placement support includes resume help, mock interviews, project presentation guidance, and career direction. The support is designed around roles such as AI Analyst, AI Developer, and Data Analyst.

Can non-technical students join this Artificial Intelligence training institute in Chandigarh?

Yes, non-technical learners can join if they want a structured introduction to AI tools and concepts. The course explains prompts, memory, tools, and deployment in a step-by-step format. Some practice with Python-based workflows will still be needed.

Is live online training available for students in Chandigarh?

Yes. You can attend live online sessions from Chandigarh and still follow the same practical syllabus. The online format includes mentor interaction, exercises, and project guidance.

How long is the Artificial Intelligence course?

The training is organized into module-wise weekly learning, covering agentic AI, Generative AI, and deployment topics. The exact pace depends on the batch mode and learning schedule. You can use the classroom or live online format based on your availability.

What tools will I learn in this Artificial Intelligence course?

The course includes OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, Pinecone, FastAPI, Docker, and deployment-related tools. These tools are used across prompting, memory, workflows, evaluation, and production setup. The software coverage is practical and tied to the syllabus.

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