Join Inventateq’s AI Training in Rajkot to learn agentic AI, generative AI workflows, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, vector databases, and deployment basics. You will build practical projects like research agents, data analyst agents, and chatbot applications using real tools from the syllabus.
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
Free Session
Get Job with our Guaranteed Placement Support Program
Learning AI is only useful when you can explain your work, show projects, and handle interviews. Inventateq supports learners in Rajkot with practical placement guidance so they can move toward roles like Data Analyst, Business Analyst, AI Analyst, and BI Developer with confidence.
AI, analytics, and automation roles are opening across product teams, services firms, startups, and data-driven businesses in Rajkot and nearby hiring markets. As experience grows, pay typically rises with the ability to build working AI systems, integrate tools, and deploy them safely.
AI Average Salary by Experience
AI, analytics, and automation roles are opening across product teams, services firms, startups, and data-driven businesses in Rajkot and nearby hiring markets. As experience grows, pay typically rises with the ability to build working AI systems, integrate tools, and deploy them safely.
AI Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
4.7 / 5
By Google Reviews
4.7 / 5
By Justdial
4.7 / 5
By Sulekha Courses
4.7 / 5
By Course Suggest
Success Result: Our students are competing at global levels. Watch their placement journey here.
0.0
GOOGLE RATING
0k+
REVIEWS
4.7/5 · 1,432+ Verified Reviews
Inventateq teaches AI in a practical way, starting from how agents work and moving into prompting, tools, memory, planning, multi-agent systems, guardrails, evaluation, and deployment. The syllabus is built around real implementation topics like LangChain, LangGraph, OpenAI API, Pinecone, Hugging Face, Docker, FastAPI, and cloud deployment, so learners work on skills they can use in projects and interviews.
We stand apart through our commitment to:
Live online AI training from Rajkot follows the same practical syllabus with trainer-led sessions, demonstrations, and doubt clearing. Learners can join from home, follow the project work live, and complete assignments with support from the mentor team.
Students who want to start with AI, LLMs, and agentic workflows from the basics.
Developers, analysts, and automation learners who want practical AI project skills.
People aiming to move into analytics roles with AI, RAG, and chatbot projects.
Graduates from non-AI backgrounds who want job-oriented training in Rajkot.
Anyone who wants to learn how AI agents, prompts, and tools work in practice.
Mode: Offline classroom and live online training options are available.
Format: Trainer-led sessions with practical examples and guided exercises.
Focus: Agentic AI, generative AI, tools, memory, and deployment.
Support: Doubt clearing and project guidance throughout the course.
No prior AI background is required to start learning.
Rated 4.9/5
Inventateq focuses on practical training that makes learners write, test, and explain AI workflows instead of only reading about them. The Rajkot program follows a job-oriented structure with project work, mentor feedback, and support for interview preparation and certification.
Learners finish the course with project experience in agentic AI, generative AI, memory systems, tool use, and deployment. You practice the kind of work that shows up in interviews, portfolio reviews, and entry-level AI or analytics roles.
Create agents that reason, act, call tools, and follow structured workflows. The syllabus includes research agents, multi-agent systems, and data analyst agents, so you learn how to move from concept to implementation.
Use LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Hugging Face, Pinecone, FastAPI, Docker, and observability tools. This gives you practical exposure to the stack used in applied AI projects.
Learn short-term and long-term memory, vector database retrieval, and semantic memory design. These skills matter when building assistants, chatbots, and agents that need context.
Practice human-in-the-loop steps, approval controls, guardrails, and budget limits. You understand how to keep agent behavior controlled before anything goes into production.
Use tracing, latency checks, and trajectory evaluation to find where workflows fail. This helps you explain not just what the system does, but how it behaves and why.
Wrap agents with APIs, understand async execution, and deploy to cloud platforms. You finish with project stories that are easier to present in interviews and portfolio discussions.
This certification validates that you have completed practical training in agentic AI, generative AI, and deployment-focused workflows. It helps employers see that you have hands-on exposure to the tools and concepts used in modern AI projects.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes. The training starts from the basics of NLP, LLMs, chatbots, and the idea of agency before moving into advanced workflows. Beginners can follow the course step by step as long as they are willing to practice regularly.
Yes, the syllabus includes multiple hands-on tasks and projects. You will work on a research agent, a data analyst agent, and a generative AI project with deployment. The course is built to help you practice the tools rather than only listen to lectures.
Yes, placement support is included with the course. The team helps with resume preparation, interview practice, project presentation, and role guidance. The support is aimed at practical roles such as analyst, BI, and AI associate positions.
Yes, non-technical learners can join if they are ready to learn the concepts carefully and practice the tools. The course begins with the core ideas and gradually moves into more technical topics like memory, frameworks, and deployment. Mentor support makes the learning process easier to follow.
Yes, live online classes are available. You can attend sessions from home, follow the trainer in real time, and complete project work with support. This makes the course accessible even if you prefer not to attend classroom sessions.
The course is organized into weekly modules covering agentic AI, prompt engineering, tools, memory, frameworks, evaluation, and deployment. The format is practical, with theory, live demonstrations, assignments, and project work. You learn through a structured sequence rather than a short crash course.
Explore more
Browse the same course in nearby cities and training hubs.
Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!