Full stack generative AI near me in Bangalore, India

Learn to build production-ready AI agents using AWS, LangChain, LangGraph, FastAPI, and Amazon Bedrock. Course Modules Agentic AI & Enterprise Patterns – Agents vs Workflows vs RAG, LangChain, LangGraph, and enterprise architecture. AWS Bedrock – Bedrock Runtime, Claude/Titan models, tool calling, reasoning, and Guardrails. FastAPI – Async APIs, streaming responses, request validation, and agent APIs. LangChain Fundamentals – PromptTemplate, Chains, Tools, Memory, and building a simple agent. LangGraph Fundamentals – Nodes, Edges, State, Conditional Routing, and single-agent workflows. LangChain + LangGraph – Agent integration, separation of concerns, failure isolation, and enterprise patterns. Agent Tool Design – Tool contracts, retries, timeouts, and idempotency. AWS Agent Tools – Lambda, Step Functions, SNS, DynamoDB, Rules Engine, and event-driven orchestration. Error Handling & Observability – Retries, fallbacks, compensation flows, CloudWatch metrics, logging, and tracing. RAG & Agent Memory – OpenSearch Vector Memory, embeddings, hybrid search, retrieval strategies, confidence scoring, and hallucination reduction. Security & Governance – IAM, API authentication, PII masking, audit logging, and compliance. Analytics – S3 and Snowflake for audit storage, agent metrics, cost, and latency dashboards. Hands-on Projects 🟢 Project 1: Intelligent Support Agent – Stateful retail support agent for order tracking, refunds, escalations, approvals, and notifications. 🔵 Project 2: Enterprise Multi-Agent Platform – Planner, Executor, Validator, and Human Approval agents with multi-agent messaging, long-term memory, human-in-the-loop workflows, and failure recovery. Final Deliverables ✔ End-to-end deployed AI agent system ✔ Enterprise GitHub repository ✔ Architecture diagrams ✔ Audit & observability dashboards ✔ Job-ready Agentic AI skills

With 21+ years of enterprise IT experience and 13+ years of mentoring, I help learners build practical, industry-ready Full Stack Generative AI skills. My training goes beyond teaching tools and frameworks—I focus on how AI solutions are designed, developed, and deployed in real-world projects. The program covers the complete AI development lifecycle, from Python and Generative AI fundamentals to AI Agents, RAG, LLM integration, full-stack AI application development, deployment, and enterprise best practices. Every session is highly practical, with hands-on coding, real-world use cases, architecture discussions, and end-to-end projects. I believe there's a significant difference between learning a technology and applying it successfully in a project. That's why I share practical insights, industry scenarios, and engineering best practices that help reduce your learning curve and prepare you for real AI development environments. Whether you're a student, software professional, or someone transitioning into AI, I tailor the learning journey to your background and career goals, helping you build production-ready AI applications with confidence. My objective is not just to help you complete a course, but to prepare you to contribute effectively in real-world AI projects from day one.

Senior Full-Stack + GenAI Mentor | 11+ Years Industry Experience I help working professionals and developers build production-ready applications using React, Angular, Node.js and GenAI. What you'll build with me: Full-stack applications REST APIs & microservices AI/RAG applications LangChain/LangGraph projects Real-world architecture Interview preparation

I am Shaik Jafer Ali, a dedicated Computer Science Graduate and Software Developer currently working as an Software Developer at Physics Wallah, Bangalore. I have strong experience in teaching and mentoring students in subjects such as Computer Science, Programming (Java, Python, HTML, CSS, JavaScript), Web Development, and Cloud Computing (AWS). I have been providing online and home tuition to students from school to college level for the past few years. I specialize in explaining complex topics in a simple, practical, and easy-to-understand way. I strongly believe in building concepts, improving logic, and enhancing problem-solving skills rather than just memorizing. I am certified in Full Stack Development and Cloud and have hands-on experience in real-time projects including Web Applications, DevOps pipelines, and Software Deployment. My teaching approach includes: Personalized lesson plans as per student’s understanding level Real-world examples and practical demonstrations Regular tests, progress tracking & doubt-solving sessions Key Skills: ✅ Programming (Java, JavaScript, Python) ✅ Web Development (React, Node, MongoDB) ✅ Computer Science Subjects (DSA, DBMS, OS, CN) ✅ Cloud (AWS) & DevOps Basics ✅ Mentoring, Guidance & Career Support I ensure that students not only learn but gain confidence and develop strong clarity of concepts. Looking forward to helping you learn and grow in your academic and career journey.