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Artificial Intelligence Course in Patna with Certification and Placement

Learn Artificial Intelligence training in Patna with a practical focus on Agentic AI, Generative AI, OpenAI API, LangChain, LangGraph, Hugging Face API, vector databases, Pinecone, and deployment. You will build agents, chatbots, and end-to-end AI projects using the tools listed in the syllabus and software stack.

4.7/5 from 1,432 reviews
Agentic AI, Generative AI, and chatbot training in Patna
Hands-on work with OpenAI API, LangChain, LangGraph, and Hugging Face
Build projects with vector databases, Pinecone, and memory workflows
Learn tool use, function calling, ReAct, and multi-agent systems
Certification, resume support, and placement guidance included
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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 Patna

Learning AI is only useful when you can explain the work, show the project, and handle interviews. Inventateq keeps the training practical so you can present Agentic AI, Generative AI, and deployment work clearly for entry-level and mid-level roles in Patna and remote opportunities.

Our Signature Career Support:

  • Resume preparation based on your AI projects and tools
  • Mock interviews for AI, data, and analytics roles
  • Portfolio guidance for chatbot, agent, and deployment projects
  • Interview coaching for roles like data analyst and AI associate
  • Placement support through career guidance and follow-up mentoring

Artificial Intelligence Salary Insights in Patna

AI roles in Patna and nearby hiring markets are shaped by demand in analytics, automation, product teams, and support functions. Salary grows with project depth, tool knowledge, and the ability to deploy working AI systems.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Patna?

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About Inventateq Artificial Intelligence Training Institute in Patna

Inventateq teaches Artificial Intelligence in Patna with a project-first approach. The course follows the actual syllabus: Agentic AI fundamentals, prompt engineering, function calling, memory, frameworks like LangChain and LangGraph, multi-agent systems, guardrails, evaluation, and production deployment.

We stand apart through our commitment to:

  • Build AI agents, research assistants, and data analyst agents
  • Work with OpenAI API, LangChain, LangGraph, and Hugging Face
  • Learn vector databases, Pinecone, and memory handling
  • Get mentor support while working on practical assignments and projects
  • Attend classes with placement guidance and flexible batch options
 classes
Live Online
Remote Learning

AI Online Live Classes

Live online batches are available for Patna learners who want flexible training without missing mentor support. You can join from home, follow the same project-based syllabus, and complete the course with guided practice and feedback.

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

Good for learners starting with AI because the course explains the move from NLP to LLMs, chatbots, and agents from the beginning.

Students

Useful for students who want practical AI exposure with projects, tools, and certification for internships and entry-level roles.

Working professionals

Fits analysts, developers, and engineers who want to move into AI agent workflows, automation, and deployment.

Data and analytics learners

Strong option for people who already know data basics and want to add AI, LangChain, and vector database skills.

Career switchers

Suitable for non-AI professionals who want a clear path into practical AI roles with guided training and placement support.

Quick Highlights of Inventateq Artificial Intelligence Course in Patna

Course Duration

  • Mode: Offline and live online classes

  • Coverage: Agentic AI, Generative AI, and deployment

  • Tools: OpenAI API, LangChain, LangGraph, Hugging Face, Pinecone

  • Learning style: Theory, practicals, assignments, and project work

No prior AI experience is required to start this course.

Artificial Intelligence Course Curriculum in Patna

1. Introduction to Agentic AI (Week 1)

W1
  • Understand how NLP led to LLMs, chatbots, and agent-based systems
  • Learn what agency means: autonomy, goal direction, and tool use
  • Study the main parts of an agent: brain, perception, and action
  • Review 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-Thoughts prompting
  • Work with structured output using JSON mode and function calling
  • Apply XML tagging where it is useful for agent instructions
  • Build a research agent that uses structured function calling to scrape a website

3. Tools and Function Calling (Week 3)

W3
  • Define tools as functions with schemas
  • Connect agents to external actions and services
  • Use parallel function calling when multiple tasks are needed
  • Learn how to choose the right tool and handle tool failures gracefully

4. Memory Architectures (Week 4)

W4
  • Compare short-term context memory with long-term vector database memory
  • Study semantic memory through RAG for agents
  • Learn episodic memory for storing past actions and outcomes
  • Manage state properly in loops and long-running workflows

5. Agentic Frameworks (Week 5)

W5
  • Get an overview of LangChain, LangGraph, AutoGen, and CrewAI
  • Understand the difference between chains, agents, and graphs
  • Compare framework strengths and trade-offs
  • Port the ReAct loop into LangGraph in a hands-on exercise

6. Planning and Complex Workflows (Week 6)

W6
  • Learn plan-and-execute architecture for multi-step tasks
  • Use reflexion to let agents self-critique and improve
  • Study LLMCompiler ideas for more efficient parallel execution
  • Work with dynamic workflows and compare them with DAG-based approaches

7. Multi-Agent Systems (Week 7)

W7
  • Understand why multi-agent systems use specialization instead of one general agent
  • Study manager-worker, peer-to-peer debate, and sequential handoff patterns
  • Learn communication protocols between agents
  • Use AutoGen and CrewAI concepts for role-based collaboration

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

W8
  • Set breakpoints and interrupts for controlled execution
  • Use approval workflows before destructive actions
  • Apply input and output guardrails with tools like NeMo Guardrails and Guardrails AI
  • Control token spend and loop iterations with budget management

9. Evaluation and Observability (Week 9)

W9
  • Learn why agent evaluation is hard because behavior is not always deterministic
  • Compare trajectory evaluation with final outcome evaluation
  • Review LangSmith and Phoenix Arize for monitoring and analysis
  • Trace latency, token usage, and failure points in workflows

10. Advanced Architectures (Week 10)

W10
  • Study autonomous agent patterns like BabyAGI and AutoGPT
  • Work with code-as-action where agents write and run Python in a sandbox
  • Explore multimodal agents for vision and audio use cases
  • Look at web navigation agents using Playwright and Selenium
  • Build a data analyst agent that reads CSV files, runs Python, and creates visualizations

11. Production Deployment (Week 11)

W11
  • Learn streaming responses and blocking responses
  • Use AsyncIO for asynchronous agents
  • Containerize agent sandboxes with Docker
  • Understand horizontal scaling for agent services
  • Design API endpoints for agentic applications
  • Deploy a multi-agent service with a FastAPI wrapper on a cloud platform like Render or AWS

12. Generative AI and Project Work (Week 12)

W12
  • Introduction to Generative AI and OpenAI API
  • Use LangChain applications and memory features
  • Work with Hugging Face API and open-source LLM models
  • Build and deploy a generative AI project
  • Create an end-to-end medical chatbot and deployment workflow
  • Cover vector databases for AI and LLM use cases, including Pinecone

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Patna?

Inventateq focuses on practical AI training that prepares you to build working systems, not just learn definitions. The course covers the full path from prompting and memory to frameworks, evaluation, and deployment, so you can handle real project requirements.

Why Students Trust Inventateq Patna

  • Trainers explain AI in a simple, structured way
  • The syllabus follows real tools used in current AI work
  • Students get practical doubt support throughout the course
  • Project work is part of the training process
  • Placement guidance is built into the learning path

Build Practical Artificial Intelligence Skills That Help You Start Strong

You will work on the same kinds of tasks used in AI project teams: prompt design, agent workflows, memory handling, tool use, and deployment. By the end, you should be able to explain what you built and how it works.

Build working AI agents

Create agents that reason, act, call tools, and manage multi-step workflows using the patterns covered in class.

Learn to design prompts properly

Write system prompts, structured outputs, and instruction patterns that make AI behavior more stable and useful.

Handle memory and retrieval

Use short-term and long-term memory concepts, including vector database support and RAG-based workflows.

Work with real AI frameworks

Get practical exposure to LangChain, LangGraph, AutoGen, and CrewAI concepts used in modern AI projects.

Deploy AI applications

Take projects beyond notebooks with FastAPI, Docker, async processing, and cloud deployment basics.

Prepare for interviews and projects

Finish with the confidence to explain your tools, decisions, workflow, and project outcomes in interview settings.

Artificial Intelligence Course Certification

The certification validates that you have trained on the practical AI syllabus, completed project work, and worked with the tools covered in the course. It helps show employers that you can apply agentic AI and generative AI concepts in real scenarios.

OpenAI API, LangChain, and LangGraph

Earn this certificate upon successful completion of our training program.

Hugging Face API and open-source LLM 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 cloud deployment basics

Validate your skills with recognized industry credentials.

Detailed Insights: Artificial Intelligence Training in Patna

Students Frequently Asked Questions

Is this Artificial Intelligence course in Patna suitable for beginners?

Yes, the course starts from the basics of how NLP leads into LLMs, chatbots, and agents. The training is structured step by step, so beginners can follow it if they are willing to practice. Mentors explain the tools and workflows in a practical way.

Will I work on projects during the course?

Yes, the syllabus includes hands-on work such as a research agent, a data analyst agent, generative AI projects, and chatbot deployment. Project work is part of the training, not an extra add-on. This helps you understand how the tools are used together.

Do you provide placement assistance after the course?

Yes, the course includes resume support, mock interviews, and career guidance. The support is focused on the roles linked to the training, such as AI Intern, Junior AI Engineer, and Data Analyst. You will also get help presenting your project work clearly.

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

Yes, non-technical learners can join if they are ready to learn step by step. The course begins with core AI concepts and then moves into tools, frameworks, and deployment. The practical format makes it easier to understand than theory-heavy training.

Is live online training available for learners in Patna?

Yes, live online classes are available for learners in Patna. You can attend mentor-led sessions, ask questions in real time, and complete assignments with support. The online format covers the same syllabus as classroom training.

What tools will I learn in this course?

You will work with OpenAI API, LangChain, LangGraph, Hugging Face API, Pinecone, FastAPI, and Docker. The software list also includes Python-related AI workflows and deployment tools. These tools are used throughout the syllabus, so you learn them in context.

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