Practical AI & Agent Engineering for Engineers, Students & Teams
Master LLMs, Multi-Agent Systems, and Production Workflows Through Hands-On Code.
Move beyond generic prompt tutorials. NTSY teaches you how to design, evaluate, and deploy autonomous AI agents using the industry’s leading frameworks — OpenAI SDK, CrewAI, LangGraph, AutoGen, and Model Context Protocol (MCP).
Corporate Training for Engineering & Product Teams
Empower your development teams to architect, evaluate, and deploy autonomous AI Agent workflows with enterprise governance, secure tool integration, and cloud-ready infrastructure.
6-Week Intensive Agent Engineering Roadmap
A practical, code-first progression from foundational prompt engineering and tool calling to production-grade multi-agent architectures and enterprise Model Context Protocol (MCP) ecosystems.
FOUNDATIONS OF AI & AGENTS
- LLMs & Generative AI Architecture
- Prompt Engineering Mastery
- Agents & Agentic AI Fundamentals
- Tools & Function Tool Calling
- Memory Systems & Stateful Sessions
- Embeddings & RAG Fundamentals
- Vector Databases (Pinecone / Chroma / pgvector)
Intelligent document retrieval & semantic question-answering agent over custom corporate data.
OPENAI & AGENT SDK
- OpenAI Assistants & Responses API
- Official Agents SDK Architecture
- Custom Tools & Execution Handlers
- Guaranteed Structured JSON Outputs
- Complex Agent Workflows & Loops
- SDR (Sales Development Rep) Agent
- Deep Research & Web Synthesis Agent
Autonomous agent that scrapes leads, qualifies decision-makers, and drafts personalized outreach emails.
CREWAI MULTI-AGENT SYSTEMS
- Agents, Role-Playing Tasks & Crews
- Hierarchical vs Sequential Workflows
- Short-term, Long-term & Entity Memory
- Custom Tools & API Integrations
- Human-in-the-Loop Approval Steps
- Agent Monitoring, Cost & Evaluation
- Production Enterprise Use Cases
Crew of coordinated agents: SEO Strategist, Copywriter, Graphic Prompter, and Quality Auditor.
LANGGRAPH STATEFUL AGENTS & WORKFLOWS
- Graph States, Nodes & Conditional Edges
- Dynamic Router & Fallback Logic
- Cyclic Loops & Self-Correcting Chains
- Checkpointers & Memory Persistence
- Time-Travel & Human-in-the-Loop Pauses
- Production Streaming & LangSmith Tracing
- Complex Enterprise Multi-Turn Cases
Cyclic self-healing agent that validates data, refines research, and formats viral social campaigns.
AUTOGEN DISTRIBUTED SYSTEMS
- AutoGen Core & AgentChat Architecture
- Event-Driven Asynchronous Messages
- Distributed Agents across Microservices
- Autonomous Multi-Agent Organizations
- Code Execution in Sandboxed Docker
- Enterprise Multi-Persona Simulation
- Scaling AI Agents under High Concurrency
Autonomous software development shop: Product Manager, Architect, Code Engineer, and QA Tester.
MCP (MODEL CONTEXT PROTOCOL) & INTEGRATIONS
- Anthropic MCP Specification & Architecture
- Building Custom MCP Clients & Servers
- Local stdio & Remote SSE Transport
- Enterprise Security, Scope & Auth Tokens
- Connecting Notion, Slack, Postgres & Files
- Multi-MCP Federation Ecosystems
- Production Cloud Deployment & Telemetry
Production MCP server suite integrating corporate databases, CRM, and cloud tools directly with AI models.
Need the Full Day-by-Day Syllabus?
Download the complete 42-day code repository outline, lab prerequisites, and evaluation rubric.
Production-Ready Projects Built by Our Learners
Theoretical knowledge fades quickly. At NTSY, you build, test, and deploy functional AI Agents with real third-party integrations, vector memory persistence, and automated cloud workflows.
AI Customer Support Agent
Businesses need 24/7 customer support but cannot always afford large support teams.
An AI-powered customer support agent that can understand queries, retrieve relevant information, and provide accurate responses automatically.
AI Resume Analyzer
HR teams spend hours manually screening resumes for relevant skills and experience.
An AI application that parses resumes, extracts key information, scores candidates against job descriptions, and generates summary reports.
AI Lead Generation Agent
Sales teams need to identify and qualify potential leads from multiple sources efficiently.
A multi-agent system that researches companies, identifies decision makers, qualifies leads based on criteria, and compiles actionable prospect lists.
AI Research Agent
Researching topics thoroughly requires reading and synthesizing information from many sources.
An autonomous research agent that can search, read, and synthesize information from multiple sources to produce comprehensive research reports.
Engineered for Verified Career & Technical Outcomes
A transparent overview of the technical competencies you will master, who qualifies for this curriculum, and how our Hyderabad institute accelerates your career.
What You Will Learn
- Build Real-Time AI Agents (from scratch)
- Integrate Real Tools (Email, Notion, Slack, Google, Databases)
- Create Multi-Agent Systems for real use cases
- Deploy to Cloud (AWS / Render / Vercel)
- Work on Industry-Grade Projects
- Be Job Ready with Practical Skills
Who Can Join?
Build portfolio-defining AI agent projects before graduation to stand out in top campus placements.
Developers, QA engineers, and tech leads looking to transition into high-paying Agentic AI engineering roles.
Founders, creators, and tinkerers wanting to automate workflows and build autonomous software products.
Enterprise engineering teams seeking bespoke upskilling in production Multi-Agent & MCP deployments.
Why NTSY Institute?
- Learn to Build Real AI Agents (Not Just Theory)
- Hands-on Real-World Projects
- Expert Trainers with Industry Experience
- Career Guidance & Placement Support
- 100% Job Assurance for Top Performers*
- Flexible Batches – Weekday & Weekend
Classroom Labs at Gajularamaram Circle, Hyderabad
We believe engineering breakthroughs happen through direct collaboration. Our Hyderabad campus offers dedicated high-spec developer setups, in-person mentor code reviews, and round-the-clock lab access during your project sprints.
Dedicated workstations with local development environments & GPU compute.
Concurrent live stream for remote students with mentor breakout rooms.
Regular weekday batches (Mon–Fri) and professional weekend batches (Sat–Sun).
Simulate engineering team sprints, PR code reviews, and architectural standups.
Apply for Upcoming Batches or Request Detailed Syllabus
Connect with our admissions desk to evaluate your technical background, review upcoming batch schedules, or schedule a campus visit at Gajularamaram Circle.
Admissions Desk
- Free technical profile evaluation with a senior trainer
- Transparent fee structure with no unexpected costs
- Flexible batch switching between weekday & weekend cohorts
Request Program Information
Submit your details to receive the complete syllabus, course schedule, and fee options.