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6840+ Job Posting Available
Placements in Artificial Intelligence: 1,342

Artificial Intelligence Course in Surat with Certification and Placement

Learn Artificial Intelligence Training in Surat with a practical focus on agentic AI, generative AI, LangChain, Hugging Face, Pinecone, OpenAI API, and FastAPI. You will build working AI systems, connect tools, manage memory, and deploy projects with clear guidance from Inventateq trainers.

4.7/5 from 1,432 reviews
Agentic AI, generative AI, and LLM workflow training in Surat
Hands-on work with OpenAI API, LangChain, LangGraph, CrewAI, and AutoGen
Build research agents, data analyst agents, and a medical chatbot project
Learn vector databases, Pinecone, and memory-based AI design
Certification, resume support, mock interviews, 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 Professionals in Surat

Learning Artificial Intelligence is only part of the goal. Inventateq helps you turn that training into interview-ready skills for roles such as Data Analyst, Business Analyst, AI Engineer, and Analytics Consultant in Surat and nearby hiring markets.

Our Signature Career Support:

  • Resume preparation for AI, analytics, and data-focused roles
  • Project review and portfolio guidance based on your course work
  • Mock interviews for fresher and experienced candidate profiles
  • Career mentoring for job roles like Data Analyst and Business Analyst
  • Placement support with interview scheduling and follow-up guidance

Artificial Intelligence Salary Insights in Surat

Artificial Intelligence, analytics, and automation roles in Surat are hired across IT services, product support, consulting, manufacturing, e-commerce, and operations teams. Pay grows with project work, tool depth, and the ability to build and deploy real AI workflows.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Surat?

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 Surat

Inventateq focuses on practical Artificial Intelligence training in Surat with the same tools used in real projects. The syllabus moves from agent basics and prompting to memory, planning, multi-agent systems, evaluation, and deployment, so learners understand both how AI works and how to ship it.

We stand apart through our commitment to:

  • Learn AI by building research agents, data agents, and chatbot projects
  • Work with OpenAI API, LangChain, LangGraph, Pinecone, and FastAPI
  • Get mentor support on projects, coding steps, and deployment tasks
  • Understand agent planning, memory, guardrails, and evaluation clearly
  • Join weekday or weekend batches with classroom and online options
 classes
Live Online
Remote Learning

AI Online Live Classes

Our live online Artificial Intelligence training in Surat gives you the same structured learning plan with trainer interaction, doubt clearing, and project walkthroughs. It suits learners who want flexible access without losing the practical, hands-on format.

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 Surat

Fresh graduates

Good fit if you want to start with AI, LLMs, and analytics tools in a structured way.

Working professionals

Useful for those moving into AI, automation, analytics, or business-facing technology roles.

Data and analytics learners

Fits learners who already know data basics and want to add generative AI and agent skills.

Non-technical students

You can join if you are ready to learn Python-based AI workflows step by step.

Career switchers

Suitable for people in operations, support, marketing, or BI who want AI job roles in Surat.

Quick Highlights of Inventateq Artificial Intelligence Course

Course Duration

  • Mode: Offline classroom and live online training options

  • Learning style: Trainer-led sessions with project practice

  • Batch options: Weekday and weekend batches available

  • Support: Doubt clearing and guided assignments throughout

No prior AI experience is required to get started.

Artificial Intelligence Curriculum in Surat

1. Introduction to Agentic AI (Week 1)

W1
  • Trace the evolution from NLP to LLMs, chatbots, and agents
  • Understand agency through autonomy, goal direction, and tool use
  • Study the LLM as the brain along with perception and action
  • Learn the ReAct pattern for reasoning and acting in steps
  • Review the main risks such as hallucinations, cost, and latency

2. Prompt Engineering for Agents (Week 2)

W2
  • Write system prompts for role-based agent behavior
  • Use Chain-of-Thought and Tree-of-Thoughts prompting methods
  • Work with structured output through JSON mode and function calling
  • Compare XML tagging with JSON-based instruction formats
  • Build a research agent that uses function calling to scrape a website

3. Tools and Function Calling (Week 3)

W3
  • Define tools or functions with proper schemas
  • Use parallel function calling where tasks can run together
  • Choose tools based on task type and workflow needs
  • Handle tool errors in a controlled way
  • Connect agents to external systems and actions

4. Memory Architectures (Week 4)

W4
  • Separate short-term context memory from long-term vector DB memory
  • Use semantic memory for retrieval-based agent support
  • Store episodic memory as past actions and outcomes
  • Manage state across loops and long-running workflows
  • Understand how memory affects reliability in agent systems

5. Agentic Frameworks (Week 5)

W5
  • Review LangChain, LangGraph, AutoGen, and CrewAI
  • Compare frameworks by abstraction level and use case
  • Move from chains to agents to graphs
  • Port a ReAct loop into LangGraph in a hands-on task
  • Understand when each framework is the better fit

6. Planning and Complex Workflows (Week 6)

W6
  • Design plan-and-execute agent architectures
  • Use Reflexion for self-critique and iteration
  • Study LLMCompiler for faster parallel execution
  • Work with dynamic workflows instead of fixed DAGs
  • Plan multi-step strategies for larger agent tasks

7. Multi-Agent Systems (Week 7)

W7
  • Understand why multiple specialized agents are useful
  • Study manager-worker, peer-to-peer, and sequential handoff models
  • Set up communication protocols between 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 in agent workflows
  • Use approval steps before destructive actions
  • Apply input and output guardrails with tools like NeMo Guardrails and Guardrails AI
  • Control token spend and loop iterations
  • Keep autonomous systems safe and manageable

9. Evaluation and Observability (Week 9)

W9
  • Understand why evaluating agents is difficult because they are non-deterministic
  • Compare trajectory evaluation with final outcome evaluation
  • Use LangSmith and Phoenix Arize for evaluation workflows
  • Trace latency, token usage, and failure points
  • Debug agent runs using observable execution paths

10. Advanced Architectures (Week 10)

W10
  • Study BabyAGI and AutoGPT-style autonomous architectures
  • Use code-as-action where agents write and run 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
  • Handle streaming and blocking responses
  • Work with asynchronous agents using AsyncIO
  • Use Docker to containerize agent sandboxes
  • Scale agents horizontally for larger usage
  • Deploy a multi-agent service with FastAPI on a cloud platform like Render or AWS

12. Generative AI Foundations and Projects (Week 12)

W12
  • Cover introduction to Generative AI and the OpenAI API
  • Learn LangChain basics and Hugging Face API usage
  • Work with memory in LangChain and vector databases
  • Use Pinecone for vector search and open-source LLM models
  • Build and deploy an end-to-end medical chatbot project
  • Use buffer time for revision and project completion

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Surat?

Inventateq teaches Artificial Intelligence with a strong focus on practical implementation. The course is built around the tools, frameworks, and deployment steps that learners actually use when they move into AI and analytics roles.

Why Students Trust Inventateq Surat

  • Trainer-led sessions with clear explanations and project guidance
  • Updated course content that reflects current AI frameworks and tools
  • Supportive learning environment for beginners and career switchers
  • Placement-oriented training that connects coursework to job roles
  • Flexible offline and online training options for Surat learners

Build Practical Artificial Intelligence Skills for Real Job Roles

By the end of the course, learners work through the full AI workflow from prompting and memory to deployment. The projects help you move beyond theory and show practical work in interviews.

Build working AI agents

You will create agents that reason, call tools, manage memory, and complete multi-step tasks. The syllabus covers research agents, data analyst agents, and agent workflows in LangGraph and other frameworks.

Create deployable AI projects

You will not stop at notebooks. The course includes project deployment, FastAPI wrappers, Docker, and cloud deployment practice.

Use real AI tools

You work with OpenAI API, LangChain, Hugging Face, Pinecone, and related frameworks used in modern AI projects.

Understand memory and RAG

You learn short-term and long-term memory, vector databases, semantic memory, and retrieval-based design for AI systems.

Practice agent safety and control

You study guardrails, HITL approvals, budget limits, and evaluation methods so agent systems are easier to manage.

Prepare for job interviews

Projects, resume support, and mock interviews help you explain your work clearly for AI, data, and analytics roles.

Certification for Artificial Intelligence Training

This certification confirms that you completed practical training in Artificial Intelligence, generative AI, agents, and deployment workflows. It helps show employers that you have studied real tools and built project-based skills, not just watched theory sessions.

OpenAI API and structured prompting

Earn this certificate upon successful completion of our training program.

LangChain, LangGraph, AutoGen, and CrewAI workflows

Validate your skills with recognized industry credentials.

Pinecone vector database and memory-based AI design

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 Surat

Students Frequently Asked Questions

Is this Artificial Intelligence course in Surat suitable for beginners?

Yes, beginners can join as long as they are ready to learn step by step. The course starts with the basics of agents, prompting, and AI workflow concepts before moving into tools and deployment. Trainers explain the logic clearly, so you do not need prior AI project experience.

Will I work on hands-on projects during the course?

Yes, the course is project-based. You will build a research agent, a data analyst agent, and a medical chatbot project, along with deployment exercises. These projects are meant to help you understand how AI systems are actually built.

Does Inventateq provide placement assistance for Artificial Intelligence training in Surat?

Yes, placement support is part of the course structure. Inventateq helps with resume preparation, portfolio presentation, mock interviews, and job-role guidance. The support is focused on making your AI and analytics profile interview-ready.

Can non-technical students join this Artificial Intelligence course?

Non-technical learners can join if they are willing to learn the tools and coding basics involved in the syllabus. The course introduces concepts gradually and covers practical workflows rather than only advanced theory. That makes it suitable for career switchers and fresh graduates.

Is online training available for students in Surat?

Yes, live online training is available for learners in Surat. The online format follows the same structured curriculum, project work, and trainer interaction as the classroom option. It is useful if you want flexibility while still learning in a guided way.

How long is the Artificial Intelligence training?

The curriculum is spread across multiple modules and includes both foundational and advanced topics. It covers agentic AI, generative AI, memory, evaluation, deployment, and projects, so the training is structured rather than rushed. Exact batch duration depends on the mode and schedule you choose.

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