Learn Artificial Intelligence in Vizag with a practical path from agent design to deployment. This course covers Agentic AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, vector databases, FastAPI, Docker, and cloud deployment tools used in real projects.
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
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Learning Artificial Intelligence is only one part of the outcome. Inventateq supports learners in Vizag with practical placement preparation so they can present their projects, tools, and problem-solving clearly in interviews.
Artificial Intelligence roles in Vizag connect to analytics, automation, product teams, and AI implementation work. Salary usually grows with project depth, deployment experience, and the ability to build useful systems with agent frameworks and LLM tools.
Artificial Intelligence Average Salary by Experience
Artificial Intelligence roles in Vizag connect to analytics, automation, product teams, and AI implementation work. Salary usually grows with project depth, deployment experience, and the ability to build useful systems with agent frameworks and LLM tools.
Artificial Intelligence Average Salary by Experience
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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Inventateq teaches Artificial Intelligence in a practical sequence, starting from LLMs, prompts, and tool use, then moving into memory, agent frameworks, multi-agent systems, guardrails, evaluation, and deployment. The course is designed around actual building work, not just theory, so learners understand how to create and deploy AI systems with real tools.
We stand apart through our commitment to:
Live online training lets learners from Vizag join the same practical Artificial Intelligence course from home. Sessions stay interactive, with screen sharing, code walkthroughs, and project support so learners can follow the full syllabus without missing the hands-on part.
Good for students who want a practical AI path with tools, projects, and deployment practice.
Useful for professionals moving into AI, analytics, automation, or product-facing roles.
Helps beginners build job-ready skills in prompts, LLMs, agents, and project work.
Fits learners who already know data basics and want to move into AI systems and workflows.
Suitable for motivated learners who want a guided start with clear explanations and live practice.
Duration: Structured around module-wise AI training and project work.
Mode: Available in classroom and live online formats.
Learning Style: Theory, practical coding, and project deployment together.
Batch Options: Weekday and weekend batches are available for learners in Vizag.
The course is designed for learners who want guided, practical training from start to finish.
Rated 4.9/5
Inventateq keeps the training practical from the first module. Learners work through agent design, prompting, memory, frameworks, evaluation, and deployment in a sequence that matches how AI projects are built in real teams.
By the end of the course, learners understand how to design, test, and deploy AI workflows. They also build project experience with tools that recruiters and teams actually use.
Learn how to create agents that reason, use tools, manage memory, and complete tasks step by step. This gives you a practical base for AI application work.
Work on a research agent, a data analyst agent, and a Generative AI project. These projects help learners show actual implementation skill during interviews.
Go beyond model usage and learn deployment with FastAPI, Docker, and cloud platforms. This is useful for AI roles that expect more than notebook-only work.
Get hands-on exposure to LangChain, LangGraph, AutoGen, CrewAI, and related workflow tools. That makes it easier to adapt to different AI team setups.
Learn guardrails, human-in-the-loop controls, tracing, and evaluation methods. These are important when AI systems move into real business use.
Translate your training into interview-ready explanations, project stories, and role-specific talking points. This helps learners speak clearly about the work they have done.
The certification confirms that the learner has completed practical training in agentic AI, generative AI, frameworks, tools, and deployment. It helps employers see that the candidate has worked on structured projects, not only studied theory.
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, beginners can join if they are ready to learn step by step. The course starts with the basics of agents, prompts, and LLM concepts before moving into frameworks and deployment. Trainers explain the logic clearly, so you can build from the ground up.
Yes, the course is built around practical work. You will build a research agent, a data analyst agent, and a Generative AI project, along with deployment exercises. The idea is to help you understand how the tools fit together in real applications.
Yes, placement guidance is part of the program. Support includes resume help, interview preparation, project presentation guidance, and role mapping for AI and analytics jobs. The focus is on helping learners present their training in a professional way.
Yes, non-technical learners can join if they want structured training and are willing to practice consistently. The course covers concepts in a practical order, which helps learners understand how AI systems work. Basic computer usage is helpful, but the main requirement is commitment to learning.
Yes, live online classes are available for learners from Vizag. You can attend interactive sessions, watch live coding, ask questions, and follow the same syllabus as classroom students. This is useful if you want flexibility without losing mentor support.
The syllabus is organized into multiple weeks and project sections, so the duration depends on the batch format. The course includes foundation topics, framework training, deployment, and a Generative AI project timeline. If you want the exact schedule, the institute can explain the current batch plan.
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