Gen AI and Agentic AI Course in Hyderabad

The Gen AI & Agentic AI Course in Hyderabad at AimNxt is designed to develop practical skills in Generative AI, Agentic AI, and Python. The program covers the complete learning journey from Python foundations, data structures, algorithms, system design, and Machine Learning to Generative AI, Agentic AI, MLOps, and production deployment. The suggested learning path spans approximately 24–26 weeks and includes hands-on labs, assessments, milestones, and a capstone project.

The course provides a strong foundation in Python programming and AI application development, covering Python development environments, Git, testing, APIs, databases, FastAPI, Pydantic, pandas, scikit-learn, MLflow, and cloud fundamentals. Students work on practical exercises involving Python services, API development, data processing, machine learning pipelines, and scalable AI application design.

The Generative AI module focuses on LLMs, transformers, prompt engineering, embeddings, vector stores, RAG, Azure AI Foundry, Azure OpenAI, evaluation, and content safety. Students gain practical exposure by building applications such as RAG APIs using FastAPI, Azure OpenAI, Azure AI Search, and Blob Storage. The curriculum also covers fine-tuning, prompt optimization, streaming, batching, latency, and cost optimization.

The Agentic AI training focuses on building intelligent systems that can plan, use tools, maintain memory, reflect, and perform multi-step tasks. Students are introduced to frameworks such as LangChain Agents, LlamaIndex Agents, and AutoGen, along with optional Semantic Kernel concepts. Practical learning includes research assistants, multi-agent workflows, tool integration, long-term memory, structured outputs, safety controls, and human-in-the-loop approval processes.

The Gen AI and Agentic AI Course in Hyderabad, program also covers MLOps, LLMOps, Azure deployment, CI/CD, observability, security, and production-ready AI applications. Learners can develop capstone projects such as an Enterprise RAG Assistant, Agentic Ops Copilot, or a domain-specific AI solution, with deliverables including architecture documentation, infrastructure, CI/CD, cost models, safety testing, and deployment practices. The course includes assessments covering Python, API design, ML evaluation, RAG evaluation, agent safety, and deployment readiness.