Learn Artificial Intelligence in Madanapalle with a practical path from agentic AI basics to LangChain, LangGraph, CrewAI, AutoGen, Pinecone, and OpenAI APIs. Build working agents, memory-based workflows, and deployable AI projects using real tools from the syllabus and software stack.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
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6,400+ (Placed)
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24,999₹
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Learning Artificial Intelligence is only part of the goal. You also need to present your projects clearly, explain agent design decisions, and speak about the tools you used in interviews. Inventateq supports that process with practical placement guidance tied to real job roles and real project work.
Learning Artificial Intelligence is only part of the goal. You also need to present your projects clearly, explain agent design decisions, and speak about the tools you used in interviews. Inventateq supports that process with practical placement guidance tied to real job roles and real project work.
Artificial Intelligence and analytics roles are hired across IT services, product teams, consulting, operations, and business functions. With stronger project work and deployment skills, pay rises steadily from trainee roles to lead and architecture positions.
Artificial Intelligence Average Salary by Experience
Artificial Intelligence and analytics roles are hired across IT services, product teams, consulting, operations, and business functions. With stronger project work and deployment skills, pay rises steadily from trainee roles to lead and architecture positions.
Artificial Intelligence Average Salary by Experience
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Inventateq teaches Artificial Intelligence through modules that connect theory with actual build work. The syllabus moves from NLP and LLMs into agents, prompt engineering, memory, tool use, guardrails, evaluation, and deployment, so learners understand how modern AI systems are put together.
We stand apart through our commitment to:
Live online training from Madanapalle follows the same practical structure as classroom sessions. You join instructor-led classes, complete the same assignments, and get support for projects, tools, and interview preparation without losing interaction.
Good for students who want a practical Artificial Intelligence path with projects and tool-based learning.
Useful for professionals who want to move into AI, analytics, or automation-related roles.
Fits learners who already know basic programming and want to apply it to LLMs and agents.
Can suit graduates willing to start from the fundamentals and follow the guided curriculum.
A strong option for anyone aiming for entry-level AI, analyst, or business roles in Madanapalle.
Mode: Classroom and live online training options
Learning style: Instructor-led, project-based sessions
Batch options: Weekday and weekend batches available
Support: Doubt clearing and guided practice throughout the course
No prior AI project experience is required to start.
Rated 4.9/5
Inventateq focuses on practical learning, guided projects, and real tools used in modern Artificial Intelligence work. The course is structured so you move from concepts to implementation, then to deployment and interview readiness.
By the end of the course, learners work through AI workflows, agent design, memory handling, and deployment. The focus is on building usable projects that can be discussed clearly in interviews and added to a portfolio.
Learn to create agents that can plan, call tools, use memory, and complete multi-step tasks. The course uses ReAct, LangGraph, AutoGen, and CrewAI as part of the build process.
You work on research agents, data analyst agents, and generative AI projects. This helps you move beyond demos and understand how AI systems behave in practice.
The syllabus includes OpenAI API, Hugging Face, Pinecone, LangChain, and vector databases. You learn how these tools fit together inside actual applications.
The course covers deployment with FastAPI, Docker, and cloud platforms like Render or AWS. That means your work is not limited to notebooks or classroom-only demos.
You get guidance on explaining the problem, solution, tools used, and results. That matters when you apply for analyst, AI, or consulting roles.
Training is aligned to roles such as Data Analyst, Business Analyst, AI Engineer, and related consulting positions. The goal is to help you speak the language of the job market in Madanapalle and beyond.
The certification shows that you completed structured training in agentic AI, generative AI, tool use, memory, evaluation, and deployment. It helps employers see that your learning was project-based and connected to practical AI tools.
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 course is structured to start from the basics of NLP, LLMs, and agents before moving into advanced topics. If you are new to AI, the step-by-step flow helps you understand each concept before the next one is added. The mentor support also helps when a topic needs more explanation.
Yes, the curriculum includes practical work such as a research agent, a data analyst agent, a Generative AI project, and a medical chatbot. You also get deployment practice using tools like FastAPI, Docker, and cloud platforms. The goal is to help you finish with usable project examples.
Yes, placement support is included with the training process. You get help with resume preparation, mock interviews, project presentation, and role guidance. The support is designed to help you apply for relevant jobs with confidence.
Non-technical learners can join if they are ready to follow the guided path and practice regularly. The course starts with core concepts and gradually moves into tools, frameworks, and project work. If you are consistent, you can build enough practical understanding to begin applying for entry-level roles.
Yes, live online training is available. You can attend instructor-led classes, ask questions during sessions, and complete the same project work from your location. This is useful if you want flexibility but still want direct mentor interaction.
The course is organized into multiple modules across several weeks, covering both foundational and advanced AI topics. It also includes project and buffer time, so you get space to practice and complete assignments. The exact pace depends on the batch format and learning schedule.
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