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Placements in Artificial Intelligence: 1,342

Artificial Intelligence Course in Noida with Certification

Join Inventateq’s Artificial Intelligence Training in Noida and learn how to build agentic AI workflows, generative AI projects, and tool-connected LLM applications using OpenAI API, LangChain, LangGraph, CrewAI, AutoGen, Pinecone, and FastAPI. The course is built around practical labs, deployment work, and the exact tools used in real AI projects.

4.7/5 from 1,432 reviews
Learn agentic AI from NLP to LLMs, chatbots, and autonomous agents
Work with OpenAI API, LangChain, LangGraph, CrewAI, AutoGen, and Pinecone
Build a Research Agent, a Data Analyst Agent, and an end-to-end chatbot project
Get hands-on exposure to memory, function calling, guardrails, evals, and deployment
Training includes certification guidance, resume prep, and placement support in Noida
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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 Training in Noida

Learning AI is only useful when you can show practical work and explain it well in interviews. Inventateq supports learners in Noida with job-oriented guidance so they can move from training projects to interview-ready profiles with confidence.

Our Signature Career Support:

  • Resume support focused on AI, Python, LangChain, and project work
  • Portfolio guidance using agentic AI and generative AI projects
  • Mock interviews for Data Analyst, Business Analyst, and AI-focused roles
  • Mentor feedback on how to present tools like OpenAI, Pinecone, and FastAPI
  • Placement guidance for internships and entry-level roles in analytics and AI

Artificial Intelligence Salary Insights in Noida

Noida hires for AI and analytics roles across IT services, product teams, consulting firms, and data-driven business units. Pay grows with the ability to build, deploy, and support real AI workflows, not just explain concepts.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Noida?

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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 Noida

Inventateq teaches Artificial Intelligence through project work, tool use, and structured practice. The syllabus covers agentic AI, prompt engineering, memory, multi-agent systems, evaluations, and deployment, so learners do not stop at theory.

We stand apart through our commitment to:

  • Learn to build AI agents that use tools and function calling
  • Practice with LangChain, LangGraph, CrewAI, AutoGen, and Pinecone
  • Work on projects that cover chatbot creation, data analysis, and deployment
  • Get mentor support while you solve lab exercises and project tasks
  • Choose weekday or weekend training with offline and online options
 classes
Live Online
Remote Learning

AI Online Live Classes

The live online Artificial Intelligence training from Noida follows the same practical format as the classroom program. You join instructor-led sessions, complete assignments, and work on the same OpenAI, LangChain, and deployment exercises from home.

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 Noida

Fresh graduates

Good for learners starting a career in AI, analytics, or data-focused roles.

Working professionals

Useful for professionals who want to move into AI, automation, or advanced analytics work.

Data and business learners

Fits learners from data, business, or operations backgrounds who want practical AI skills.

Python learners

Ideal for people who already know basic Python and want to apply it to AI projects.

Non-technical candidates

Helpful for motivated beginners who want a guided, structured path into Artificial Intelligence.

Quick Highlights of Inventateq Artificial Intelligence Course in Noida

Course Duration

  • Duration: Structured across 11 agentic AI weeks plus generative AI project time and buffer time.

  • Mode: Available in classroom and live online formats.

  • Training style: Instructor-led sessions with practical labs and project work.

  • Schedule: Weekday and weekend batch options are available.

The program is planned for learners who want steady progress with enough time for practice and revision.

Artificial Intelligence Course Curriculum in Noida

1. Introduction to Agentic AI (Week 1)

W1
  • Understand how AI evolved from NLP to LLMs, chatbots, and agents
  • Define agency through autonomy, goal-driven behavior, and tool use
  • Learn the core parts of an agent: brain, perception, and action
  • Study the ReAct pattern and its role in agent workflows
  • Review risks such as hallucinations, latency, and cost control

2. Prompt Engineering for Agents (Week 2)

W2
  • Write system prompts for role-based agent behavior
  • Use Chain-of-Thought and Tree-of-Thought prompting
  • Create structured outputs with JSON mode and function calling
  • Compare XML tagging with JSON-based instructions
  • Build a Research Agent that uses structured function calls to scrape a website

3. Tools and Function Calling (Week 3)

W3
  • Define tools and functions with clear schemas
  • Use parallel function calling when multiple actions are needed
  • Choose tools based on task and execution needs
  • Handle tool errors in a controlled way
  • Connect agents to external systems and services

4. Memory Architectures (Week 4)

W4
  • Work with short-term memory through the context window
  • Use long-term memory with vector databases
  • Apply semantic memory for retrieval-based agent workflows
  • Store episodic memory for past actions and outcomes
  • Manage state carefully inside looping agent processes

5. Agentic Frameworks (Week 5)

W5
  • Review LangChain, LangGraph, AutoGen, and CrewAI
  • Understand the strengths and trade-offs of each framework
  • Move from chains to agents to graphs
  • Port a ReAct loop into LangGraph during hands-on work
  • Choose the right abstraction level for a project

6. Planning and Complex Workflows (Week 6)

W6
  • Build plan-and-execute architectures
  • Use reflexion for self-critique and iteration
  • Learn LLMCompiler for optimized parallel execution
  • Work with dynamic workflows instead of fixed DAG-only logic
  • Design multi-step strategies for agent tasks

7. Multi-Agent Systems (Week 7)

W7
  • See why multi-agent systems split specialization from generalization
  • Study manager-worker, peer-to-peer, and sequential handoff models
  • Set up communication between multiple agents
  • Use AutoGen for conversable agents
  • Use CrewAI for role-based collaboration

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

W8
  • Add breakpoints and interrupts into autonomous workflows
  • Use approval steps before destructive actions
  • Apply input and output guardrails with NeMo Guardrails and Guardrails AI
  • Control token spend and loop limits
  • Keep agent behavior safer and more predictable

9. Evaluation and Observability (Week 9)

W9
  • Understand why agent evaluation is difficult
  • Compare trajectory evaluation with final outcome evaluation
  • Use LangSmith and Phoenix Arize for evaluation and tracing
  • Track latency, token usage, and failure points
  • Debug agent failures through graph tracing

10. Advanced Architectures (Week 10)

W10
  • Review BabyAGI and AutoGPT-style autonomous patterns
  • Use code-as-action with Python in a sandbox
  • Explore multimodal agents for vision and audio
  • Work with web navigation agents using Playwright or Selenium
  • Build a Data Analyst Agent that reads CSV data and creates visualizations

11. Production Deployment (Week 11)

W11
  • Understand streaming versus blocking responses
  • Build asynchronous agents with AsyncIO
  • Use Docker for agent sandboxes and packaging
  • Scale agents horizontally for larger workloads
  • Deploy a multi-agent service with FastAPI on cloud platforms like Render or AWS

12. Generative AI Fundamentals (Week 12)

W12
  • Introduce generative AI concepts and course flow
  • Work with the OpenAI API for practical applications
  • Start using LangChain for application building
  • Explore Hugging Face API and related applications
  • Add memory features inside LangChain workflows

13. Projects, Vector Databases, and Deployment (Week 13)

W13
  • Build a generative AI project end to end
  • Deploy the project after development
  • Work with vector databases for AI and LLM use cases
  • Use Pinecone for vector search and retrieval
  • Study open-source LLM models in practical scenarios

14. End-to-End Chatbot Development (Week 14)

W14
  • Create an end-to-end medical chatbot
  • Work on chatbot construction in a structured flow
  • Deploy the chatbot in the next part of the project
  • Review the full project lifecycle from build to deployment
  • Use the buffer time for revision and completion

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Noida?

Inventateq keeps the training practical and job-focused, with a clear path from core concepts to deployable AI projects. The course is built around real modules such as agent design, memory, guardrails, evaluation, and production deployment.

Why Students Trust Inventateq Noida

  • Trainers explain AI topics in a simple, structured way
  • Curriculum is updated around current tools and workflows
  • Students get support during labs, assignments, and project work
  • Training stays focused on practical outcomes and interview readiness
  • The learning environment is built for steady progress and clarity

Build Practical Artificial Intelligence Skills That You Can Show

You work on projects, workflows, and deployment tasks that make your learning visible. By the end, you can explain how your AI system works, what tools it uses, and how it handles real inputs.

Build real AI agents

Learn to design agents that plan, call tools, use memory, and complete tasks with clear workflows.

Create deployable projects

Develop projects like a research agent, a data analyst agent, and a chatbot that can move beyond the notebook.

Work with modern frameworks

Use LangChain, LangGraph, CrewAI, and AutoGen in a practical course setting.

Handle memory and retrieval

Apply vector databases, RAG, and memory design to make workflows more useful.

Test and trace agent behavior

Understand evaluation, tracing, latency, and failure points in real AI systems.

Prepare for interviews

Learn how to explain your tools, design choices, and project results in a clear way.

Certification for Artificial Intelligence Training in Noida

This certification shows that you completed a practical Artificial Intelligence program with agentic AI, generative AI, and deployment work. It helps employers see that you have trained on current tools and can contribute to real projects.

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 Training in Noida

Students Frequently Asked Questions

Is this Artificial Intelligence course in Noida beginner-friendly?

Yes, the course starts with the evolution of AI, agent basics, and prompt engineering before moving into advanced workflows. That helps new learners build a foundation first. The teaching style is practical and step-by-step, so you can follow the modules without feeling lost.

Will I get hands-on projects in this AI training?

Yes, the syllabus includes practical work throughout the program. You will build a Research Agent, a Data Analyst Agent, and an end-to-end chatbot project. You also get deployment practice, so your work is not limited to notebooks.

Does Inventateq provide placement assistance after the course?

Yes, placement support is part of the training approach. You get help with resume preparation, project presentation, mock interviews, and role guidance. The support is aimed at AI, analytics, and business-focused job roles.

Can non-technical students join the Artificial Intelligence classes in Noida?

Yes, non-technical learners can join if they are willing to learn consistently. The course explains concepts in a structured way and connects them to practical outcomes. If you are from business, operations, or analytics backgrounds, the training can still be useful.

Is live online training available from Noida?

Yes, live online training is available and follows the same practical curriculum as the classroom batch. You attend instructor-led sessions, work on assignments, and complete projects remotely. This is useful if you want flexibility while still learning with mentor support.

How long is the Artificial Intelligence training program?

The main agentic AI syllabus runs across 11 weeks, and the generative AI timeline adds project and deployment learning with buffer time. This gives enough room for practice, revision, and project completion. The pace is suitable for learners who want structured progress rather than rushed coverage.

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