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Placements in Artificial Intelligence: 33,500
Artificial Intelligence Course in Kolkata with Certification
Learn Artificial Intelligence in Kolkata with a practical path through agentic AI, prompt engineering, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, and deployment tools like FastAPI and Docker. You will build agent workflows, memory-based systems, and end-to-end AI projects using the tools listed in the syllabus and software stack.
4.9/5 from 20,322 reviews
Learn agentic AI step by step from core concepts to production deployment
Work with real tools: OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Pinecone
Build hands-on projects including a Research Agent and a Data Analyst Agent
Understand memory, tool use, guardrails, evaluation, and observability for AI systems
Get certification support, resume help, and placement guidance in Kolkata
Job Interview
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
Free Session
1 Hour Training Session
Get Job with our Guaranteed Placement Support Program
Placement Assistance for Artificial Intelligence Professionals in Kolkata
Learning AI is only useful when you can show practical work and speak clearly about what you built. Inventateq focuses on both the technical course and the job search process, so learners can move toward roles in analytics, AI development, and agentic system building in Kolkata.
Our Signature Career Support:
Resume preparation focused on AI, agentic AI, and analytics roles
Portfolio support using the projects built during training
Mock interviews for entry-level and mid-level AI job roles
Guidance on how to explain tools like LangChain, OpenAI API, and Pinecone
Career mentoring for roles such as Data Analyst, AI Developer, and Business Analyst
Artificial Intelligence Salary Insights in Kolkata
Companies hiring for AI and analytics skills in Kolkata include product teams, IT services, consulting firms, and data-driven business units. Salary grows with project depth, tool knowledge, and the ability to build and deploy working AI systems.
Artificial Intelligence Average Salary by Experience
Artificial Intelligence Salary Insights in Kolkata
Companies hiring for AI and analytics skills in Kolkata include product teams, IT services, consulting firms, and data-driven business units. Salary grows with project depth, tool knowledge, and the ability to build and deploy working AI systems.
Artificial Intelligence Average Salary by Experience
Why Students Choose Our Artificial Intelligence Course in Kolkata?
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About Inventateq Artificial Intelligence Training Institute in Kolkata
Inventateq teaches Artificial Intelligence through structured modules, live examples, and project work instead of theory-only classes. The course follows a practical sequence from agentic AI basics and prompting to tools, memory, multi-agent systems, guardrails, evaluation, and deployment.
We stand apart through our commitment to:
Learn to build AI agents, not just read about them
Practice with OpenAI API, LangChain, LangGraph, AutoGen, and CrewAI
Work on project-based tasks that follow the actual syllabus flow
Get mentor support while you learn tools, workflows, and deployment
Attend weekday or weekend batches with placement guidance
Live Online
Remote Learning
AI Online Live Classes
Live online Artificial Intelligence training from Kolkata follows the same syllabus and is taught by an instructor in real time. You can learn from home, ask questions during class, and complete projects with support across the course flow.
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
Beginners
Suitable for learners who want to enter AI with a structured starting point and clear project-based learning.
Data and analytics professionals
Useful for people who already work with data and want to move into AI agents, automation, and applied AI systems.
Python learners
Good for learners with basic Python who want to use it for AI workflows, tools, and deployment.
Business analysts
Helps analysts understand how AI systems can support research, workflows, and decision-making.
Career switchers
Fits non-technical learners who are ready to build job-oriented AI skills with guided practice.
Quick Highlights of Inventateq Artificial Intelligence Course
Course Duration
Mode: Offline classroom and live online training
Structure: Week-by-week modules with hands-on practice
Batch options: Weekday and weekend batches available
Learning style: Practical sessions with project work and assignments
No prior AI project experience is required to start this course.
Artificial Intelligence Course Curriculum in Kolkata
1. Introduction to Agentic AI (Week 1)
W1
•How AI evolved from NLP to LLMs, chatbots, and agents
•What agency means: autonomy, goal focus, and tool use
•Core parts of an agent: the model, perception, and action
•The ReAct pattern for reasoning and acting in sequence
•Common risks like hallucinations, latency, and cost control
2. Prompt Engineering for Agents (Week 2)
W2
•System prompts for role-based behavior
•Chain-of-thought and tree-of-thought prompting
•Structured output using JSON mode and function calling
•XML tagging versus JSON instructions for agent control
•Build a Research Agent that uses structured function calls
3. Tools and Function Calling (Week 3)
W3
•Define tools as functions with schemas
•Use parallel function calling in agent workflows
•Choose tools based on task and context
•Handle tool errors without breaking the workflow
4. Memory Architectures (Week 4)
W4
•Short-term memory through the context window
•Long-term memory using vector databases
•Semantic memory with RAG for agents
•Episodic memory for storing past actions and outcomes
•State management inside loops and workflows
5. Agentic Frameworks (Week 5)
W5
•Overview of 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 in a hands-on exercise
6. Planning and Complex Workflows (Week 6)
W6
•Plan-and-execute style architectures
•Reflexion for self-critique and iteration
•LLMCompiler for optimized parallel execution
•When to use dynamic workflows instead of fixed DAGs
7. Multi-Agent Systems (Week 7)
W7
•Why multi-agent systems are useful
•Manager-worker, peer-to-peer, and sequential handoff designs
•How agents communicate with each other
•Hands-on focus on AutoGen and CrewAI
•Specialization versus generalization in multi-agent design
8. Human-in-the-Loop and Guardrails (Week 8)
W8
•Breakpoints and interrupts in agent execution
•Approval workflows before risky actions
•Input and output guardrails with NeMo Guardrails and Guardrails AI
•Budget management for token spend and iteration limits
9. Evaluation and Observability (Week 9)
W9
•Why evaluating agents is harder than evaluating fixed outputs
•Trajectory evaluation versus final outcome evaluation
•Tracing latency, token usage, and failure points
•Use LangSmith and Phoenix Arize for debugging and visibility
10. Advanced Architectures (Week 10)
W10
•Autonomous agent patterns such as BabyAGI and AutoGPT
•Code-as-action where agents write and execute Python code
•Multimodal agents using vision and audio
•Web navigation agents with Playwright or Selenium
•Build a Data Analyst Agent that reads CSV data and creates visualizations
11. Production Deployment (Week 11)
W11
•Streaming versus blocking responses
•Async agents using AsyncIO
•Containerization with Docker for agent sandboxes
•Scaling agents horizontally
•API design for agentic endpoints
•Deploy a multi-agent service with a FastAPI wrapper on cloud platforms
12. Generative AI Foundation and OpenAI (Week 12)
W12
•Introduction to generative AI
•OpenAI and its API
•Introduction to LangChain
•Hugging Face API and LangChain applications
13. LangChain Memory, Vector Databases, and Projects (Week 13)
W13
•Memory in LangChain
•Generative AI project work
•Project deployment
•Vector databases for AI and LLM applications
•Pinecone for vector database usage
•Open-source LLM models
•End-to-end medical chatbot creation and deployment
•Buffer time for revision and completion
Rated 4.9/5
Why Inventateq for Artificial Intelligence Training in Kolkata?
Inventateq keeps the training practical, structured, and focused on tools you will actually use. The course is designed around building AI workflows, not memorizing definitions, so learners can understand both how the system works and how to present it in interviews.
Why Students Trust Inventateq Kolkata
Trainers explain concepts clearly and connect them to real projects
The syllabus is updated with current agentic AI and generative AI topics
Classes stay practical with guided exercises and hands-on implementation
Students get a supportive environment for doubt clearing and revision
Placement support is part of the training process, not an afterthought
Build Practical Artificial Intelligence Skills for Real Job Roles
Learners finish the course with exposure to AI workflows, tool use, memory, guardrails, evaluation, and deployment. They also complete project work that helps them speak about their skills with confidence in interviews.
Build Working AI Agents
You learn how to move from prompts to functional agents that can reason, act, and use tools. The course covers research agents, data analyst agents, and multi-agent workflows.
Work With Real AI Frameworks
Hands-on training uses LangChain, LangGraph, AutoGen, and CrewAI so you understand the tools used in applied AI projects.
Design Memory and Retrieval
You learn short-term and long-term memory concepts, vector databases, and semantic memory patterns used in practical AI systems.
Add Safety and Control
The course covers HITL, approvals, guardrails, and budget limits so your AI systems stay controlled and usable.
Measure and Debug Performance
Learn tracing, evaluation, and observability so you can understand where an agent fails and how to improve it.
Deploy an AI Project
You study FastAPI, Docker, async execution, and cloud deployment steps that help turn a project into a usable service.
Certification for Artificial Intelligence Training
This certification shows that you completed structured training in agentic AI, generative AI, and practical project work. It helps employers see that you have trained on both concepts and tools, not just theory.
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 deployment basics
Validate your skills with recognized industry credentials.
Detailed Insights: Artificial Intelligence Training in Kolkata
Students Frequently Asked Questions
Is this Artificial Intelligence course in Kolkata suitable for beginners?
Yes, the course is designed to start from the basics of agentic AI and generative AI before moving into advanced workflows. Beginners who are comfortable learning step by step can follow the classes with mentor support. The course also includes practical exercises, which helps new learners build confidence as they progress.
Does the course include hands-on projects?
Yes, the syllabus includes guided hands-on work such as a Research Agent, a Data Analyst Agent, and generative AI project development. You also learn deployment and debugging concepts, so the work is not limited to classroom theory. This helps you build examples you can discuss in interviews.
Will Inventateq help with placement after the course?
Yes, placement support is part of the training process. You get help with resume preparation, project presentation, mock interviews, and role guidance. The support is aimed at helping you move toward relevant roles such as Data Analyst, AI Developer, and Business Analyst.
Can non-technical students join this Artificial Intelligence training?
Yes, non-technical students can join if they are ready to learn in a structured way. The course begins with clear concepts and gradually moves into tools, workflows, and deployment. Since the training is practical, learners can build understanding through examples instead of only reading theory.
Is live online training available from Kolkata?
Yes, live online training is available, so you can attend from Kolkata or from home without losing instructor-led support. The sessions follow the same structured syllabus and include project work and questions during class. This is useful for learners who want flexibility but still want guided training.
What tools will I learn in this Artificial Intelligence course?
The course covers tools and frameworks such as OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Pinecone, FastAPI, and Docker. It also introduces evaluation and observability tools like LangSmith and Phoenix Arize. These tools are used to build, test, and deploy practical AI systems.
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