Learn Artificial Intelligence in Ahmedabad with a practical path through agentic AI, Generative AI, LangChain, OpenAI API, Pinecone, and deployment workflows. Build real agent projects, use structured function calling, memory, and multi-agent frameworks, and train on the tools listed in the syllabus and software stack.
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 part of the job-ready path. Inventateq adds placement support so you can present your project work, explain your agent design decisions, and handle interviews for roles that use Python, LangChain, LLM tools, and data workflows.
AI roles in Ahmedabad connect with product teams, analytics teams, startups, and service companies that use automation, chatbots, and data-driven systems. Pay grows as you move from execution work to building, deploying, and leading AI solutions.
Artificial Intelligence Average Salary by Experience
AI roles in Ahmedabad connect with product teams, analytics teams, startups, and service companies that use automation, chatbots, and data-driven systems. Pay grows as you move from execution work to building, deploying, and leading AI solutions.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence with a practical sequence, starting from how LLMs become agents and moving into prompting, tools, memory, planning, guardrails, and deployment. The course content is built around real frameworks and tools such as LangChain, LangGraph, AutoGen, CrewAI, Pinecone, FastAPI, Docker, and cloud deployment workflows, so learners work on the same stack used in applied AI projects.
We stand apart through our commitment to:
Live online training from Ahmedabad gives you the same practical content without travel. You can join from home, follow the agentic AI modules in real time, and use the trainer support for projects, assignments, and doubt clearing.
Suitable for learners who want a structured start with agents, LLMs, and practical AI workflows.
Good for those who already know Python or data basics and want to move into applied AI.
Useful for analysts, developers, and automation teams who want AI project skills.
Fits non-AI professionals who want to enter AI, analytics, or automation roles.
Helps new learners build project-ready skills and prepare for entry-level AI jobs.
Duration: Structured across multiple weeks of live training and project work.
Mode: Available in classroom and live online formats.
Learning style: Theory, practicals, assignments, and project deployment.
Support: Doubt clearing and mentor guidance during the course.
No prior AI background is required to start the course.
Rated 4.9/5
Inventateq focuses on practical AI training that helps learners build, test, and explain real projects. The teaching style is direct, structured, and aligned with the tools and workflows used in the syllabus.
You will not just read about AI systems. You will build agent workflows, connect tools, manage memory, evaluate outputs, and deploy working applications.
Learn to create agents that use tools, handle structured instructions, and complete multi-step tasks. The syllabus moves from basic ReAct loops to multi-agent and production patterns.
Train on OpenAI API, LangChain, LangGraph, AutoGen, CrewAI, Pinecone, FastAPI, Docker, and cloud deployment workflows. This helps you work with the same stack used in practical AI projects.
Understand short-term context, vector database memory, semantic memory, and RAG-style retrieval. These skills are useful in chatbots, assistants, and long-running workflows.
Learn plan-and-execute design, reflexion, human approval steps, and guardrails. This makes your projects more stable and easier to explain in interviews.
Use tracing, evaluation methods, and observability tools to find where workflows fail. That skill matters when AI responses are inconsistent or slow.
Finish with deployment practice using APIs, containerization, and cloud hosting. You leave with projects that can be shown in interviews and portfolio reviews.
The certification shows that you have completed structured training in agentic AI, Generative AI, and practical deployment workflows. It supports your employability by validating both your understanding and your hands-on project work.
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, it is suitable for beginners who want a clear, guided introduction to AI agents and Generative AI. The syllabus starts with basic concepts and then moves into tools, memory, frameworks, and deployment. You do not need to be an expert before joining.
Yes, the course includes hands-on work throughout. You will build a research agent, work on a data analyst agent, and complete Generative AI and chatbot projects. Project deployment is also part of the training.
Yes, placement assistance is part of the course support. You get help with resume preparation, interview practice, project presentation, and job-role guidance. The support is meant to help you move from training to interviews with more confidence.
Yes, non-technical learners can join if they are ready to follow a structured training path. The course explains concepts step by step and connects them to practical use cases. A basic comfort with learning tools and logic is enough to begin.
Yes, live online training is available for learners in Ahmedabad. The online sessions cover the same syllabus and include trainer interaction, project work, and doubt clearing. It is a practical option if you cannot attend classroom sessions.
The course is delivered across multiple weeks with theory, practicals, assignments, and deployment-focused learning. The timeline includes Generative AI, agentic AI, memory, evaluation, and production deployment modules. Exact batch timing can be checked with the institute.
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