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Generative AI and Agentic AI
Courses in Bangalore
Familiar with data analytics but wondering how to use generative AI for advanced problem-solving?
Do you want to build intelligent AI systems, AI agents, and applications?
Our Generative AI and Agentic AI course in Bangalore is exclusively designed to strengthen you as an AI innovator while preparing you for the future. This is a three-month course with seven modules and three real projects.
Unlike other generative AI training programs, our three-month course allows you to build real AI systems. You will not just experiment with AI tools but learn in depth and develop AI agents, systems and workflows for real-world applications.
Our Generative AI Training Roadmap
- Tools
Tools Students Will Use
AI Frameworks
- LangChain
- LangGraph
- MCP
- A2A
Cloud & Infrastructure
- AWS Bedrock
- AWS AgentCore
- ECS Fargate
- Lambda
- S3
Data & Vector Systems
- Pinecone
- Neo4j
- PostgreSQL
- FAISS
AI Engineering & Deployment
- FastAPI
- LangSmith
- MLflow
- Streamlit
- Modules
Our Generative AI Curriculum that Positions
You for Long-term Career Growth
Module 1: Python + Async Engineering
Build a strong engineering foundation by mastering Python programming, APIs, asynchronous programming, and backend development concepts required to create modern AI systems and automation workflows.
What You’ll Learn
- Variables, functions, and Object-Oriented Programming (OOP)
- Classes, inheritance, encapsulation, and polymorphism
- Data structures: lists, tuples, sets, and dictionaries
- Exception handling and file operations
- Database connectivity using raw SQL and SQLAlchemy
- FastAPI for AI backend development
- Async programming fundamentals and event loops
- Parallel tool execution and fallback handling
- Fire-and-forget write operations
Module 2: AWS Cloud Infrastructure
Learn the cloud infrastructure required to build, deploy, and scale enterprise AI applications using industry-standard AWS services.
What You’ll Learn
- Amazon S3 object storage and data lakes
- VPC networking and security groups
- ECS Fargate for serverless containers
- API Gateway and Application Load Balancer
- AWS Bedrock and AWS AgentCore
- AWS Lambda for event-driven workflows
- RDS PostgreSQL for agent state management
- IAM and ECR for secure cloud environments
Module 3: Prompt Engineering
Master the art of designing effective prompts, structured outputs, and advanced prompting frameworks to maximize AI model performance.
Foundations & Core Techniques
- LLM overview and token concepts
- Prompt anatomy and role-based prompting
- Zero-shot and few-shot prompting
- COSTAR framework and prompt optimization
- Structured outputs using JSON, XML, and Markdown
- Prompt patterns for extraction, classification, and content generation
- AWS Bedrock prompt management
- Multi-step prompt workflows
Advanced Prompting Techniques
- Chain of Thought (CoT) prompting
- Tree of Thought (ToT) prompting
- Self-consistency prompting
- Least-to-Most problem decomposition
- Self-refine prompting workflows
Module 4: Distributed Ingestion Pipeline + RAG
Build scalable Retrieval-Augmented Generation (RAG) systems that improve AI accuracy, reduce hallucinations, and deliver reliable responses.
Distributed Ingestion Pipeline
- Layout identification using Docling
- Data extraction and structured serialization
- Semantic chunking techniques
- PII detection and chunk enrichment
- Embedding generation workflows
- Vector databases using Pinecone and OpenSearch
RAG Evaluation Frameworks
- Retrieval accuracy evaluation
- Precision@k, Recall@k, and F1 scoring
- MLflow Evaluation and LangSmith tracing
- Regression testing and golden datasets
- AI reliability optimization and hallucination reduction
Module 5: Guardrails – Three-Layer Safety Architecture
Learn how to build safe, responsible, and controlled AI systems using enterprise-grade AI governance frameworks.
Input Guardrails
- Prompt injection detection
- Input validation mechanisms
- PII detection and toxic content filtering
- Domain-specific query restrictions
Output Guardrails
- Faithfulness and contradiction checks
- Confidence scoring
- Fallback response mechanisms
- Sensitive content validation
Action Guardrails
- Query validation
- Controlled tool execution
- Read-only database enforcement
- AWS Bedrock Guardrails implementation
Module 6: Agentic AI + Memory Architecture
Develop autonomous AI agents, multi-agent systems, and intelligent workflow orchestration for complex business operations.
LangChain Agents & Workflows
- LangChain agent foundations
- Tool workflows and retrieval sanitization
- Human-in-the-loop systems
- Context engineering
Middleware Stack
- Agent middleware architecture
- Semantic caching
- Episodic memory systems
- Context compression
Memory Architecture & Protocols
- Episodic memory systems
- MCP (Model Context Protocol)
- A2A (Agent-to-Agent Protocol)
- Multi-agent collaboration
- Parallel task execution
Module 7: Context Engineering
Learn how to strategically design, organize, and optimize AI context to generate accurate, reliable, and consistent outputs.
Context Design Fundamentals
- Structuring prompts and AI context
- Managing memory and retrieved data
- Optimizing AI responses
Context Engineering Principles
- Token budgeting
- Context optimization
- SYSTEM / CONTEXT / USER separation
- Safe AI interactions
AI Context Workflows
- Dynamic context injection
- Working memory for AI agents
- Context compression for long-running workflows
Eligibility
Am I Eligible for the Generative & Agentic AI Course in Bangalore?
Absolutely. This program is designed for learners and professionals who want to build practical AI skills and confidently transition into AI-driven roles.Whether you're starting your AI journey, expanding your technical expertise, or exploring how AI can transform your current profession, this course provides the right foundation and hands-on experience to help you succeed.
Graduates & Aspiring Professionals
Ideal for graduates who want to develop future-ready skills, understand Generative AI technologies, and improve their career growth potential in an AI-driven job market.
Software Professionals
Perfect for developers, engineers, and IT professionals who want to upskill, build intelligent AI systems, and apply AI solutions to workplace challenges or personal projects.
Data Professionals
Designed for data analysts, data engineers, and analytics professionals who want to leverage AI systems to extract insights, automate processes, and analyze data more effectively.
Product & Technical Leaders
Suitable for product managers, solution architects, technical leads, and decision-makers looking to integrate Generative AI and Agentic AI into products, platforms, and organizational workflows.
- Why Choose US
Why Choose DVS Technologies for
Generative AI Training?
With all the technologies and skill sets available, you must be wondering why generative and agentic AI. Because AI is changing the workforce quickly. While businesses are still adapting to Generative AI, organizations are already moving toward AI agents and autonomous workflows.
This quick transformation has made Generative and Agentic AI program in Bangalore a necessity for professionals who want to stay competitive and protect their careers in the fluctuating job market. That’s why DVS Technologies offers the premium three-month masterclass with seven modules and three projects.
- DVS Technologies
Generative and Agentic AI Platform in Bangalore – Join Today
Still wondering how to get up to speed with generative AI? Join our generative and agentic AI masterclass today. Our executive-level course provides a clear framework for building AI systems that reflect your creativity and prepare you for an AI-driven future.
- Apply today and make an impact on the AI-driven workforce.