AI Engineer Career Transition Program
190,000+ strong network: Global expertise, practical skills, & ethical leadership.
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GenAI, RAG, AI Agents
At GTR Academy, the program starts with fundamentals like Python, mathematics, and data handling, then moves to Machine Learning, Deep Learning, NLP, and Computer Vision. Students also work with tools like TensorFlow, PyTorch, and cloud platforms such as AWS for real-world deployment.
The course includes Data Structures, Algorithms, and System Design, along with hands-on labs and live projects, making learners industry-ready and prepared for AI Engineer roles and certification.
Program Highlights
Discover the advantages of GenAI, RAG, AI Agents
Career in GenAI, RAG, AI Agents
In-Depth Learning
Skill Enhancement
Professional Growth
GTR Certification
Future-Ready Skills
10+
Other Benefits
Step into the world of high-paying careers 🚀
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Years Operations
Know Your Mentor
Expert in Artificial Intelligence, Machine Learning, and scalable AI systems
Specialized in MLOps, NLP, Deep Learning, and Computer Vision
8+ Years Of Experience
Trained 1200+ Students
Simplifies Complex Concepts
Course Curriculum
System Setup & Environment Configuration
Pydantic Fundamentals & Implementation
Introduction to LangChain: Core Concepts
LangChain Components: Retrievers, Chains, and Data Ingestion
LLM Model Integration & Invocation Patterns
Tools, Messages, and Structured Outputs
Middleware and Human-in-the-Loop Patterns
Vector Stores: ChromaDB, FAISS, and Retrievers
Introduction to Ollama and Local Models
Building and Deploying GenAI Apps
Tracking and Monitoring with LangSmith
Building Chatbots with Message History
Prompt Templates and Conversation Management
Multi-Tool Chatbot Integration
AI Agents vs Agentic AI: Conceptual Overview
LangGraph Fundamentals: Nodes, Edges, StateGraph
Chains, Routers, and Tools in LangGraph
ReAct Agent Architecture and Implementation
Workflow Patterns: Prompt Chaining, Parallelization, Routing
Orchestrator-Worker and Evaluator-Optimizer Patterns
Human-in-the-Loop Workflows
Streaming and LangGraph Studio
Agentic RAG: Theory and Implementation
Corrective RAG: Theory and Implementation
Adaptive RAG: Theory and Implementation
Model Context Protocol (MCP): Theory and Implementation
Implementing Guardrails for AI Safety
Metrics, Evaluations, and Performance Monitoring
Who is this course for?
Anyone who wants to build a career as an AI Engineer and work on real-world Generative AI projects.
Software developers and IT professionals who want to transition into GenAI, RAG, and AI Agents development.
Data analysts and aspiring data scientists looking to upgrade their skills in LLMs and AI application development.
Working professionals from IT, cloud, or DevOps who want to switch into the AI ecosystem.
Students and graduates seeking a hands-on, industry-focused approach to becoming a job-ready AI Engineer.
Training Delivery
Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
Tech call with Certified Instructor
A call with the instructor to address specific queries and requirements.
Customized Curriculum
Tailored curriculum to meet specific learning objectives and needs.
Training & LMS Access
Start training sessions with access to the Learning Management System.
Live Training
Interactive live sessions to enhance learning experience.
Hands-on Labs
Role-based training with practical exercises and labs.
Course Materials
Access course materials anytime through LMS.
Progress Metrics
Track student progress with analytics and reports.
Gamified Quiz
Engaging final quiz to reinforce learning.
🎓 Certificate of Completion
Get a verifiable certificate after successfully completing the training.
Student Video Testimonials
Watch real success stories shared by our students.
Choose Your Plan
Start your journey with flexible pricing options
GenAI, RAG, AI Agents
Live Online
₹52,500
₹35,000
+ ₹30,000 after placement
✔ Live interactive classes
✔ Doubt solving sessions
✔ Placement support
GenAI, RAG, AI Agents
Recorded (12 Months Access)
₹22,499
₹14,999
✔ Recorded lectures
✔ Mock tests & question bank
✔ Doubt support
Frequently Asked Questions
This program is designed to help professionals transition into AI Engineering by learning Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and AI Agents development. It focuses on hands-on projects, real-world use cases, and building production-ready AI applications.
No prior AI experience is required. However, basic knowledge of Python programming and logical thinking is recommended. The course starts from fundamentals and gradually moves to advanced AI concepts.
You will learn to work with Large Language Models (LLMs), OpenAI APIs, LangChain, Vector Databases, RAG architecture, AI Agents frameworks, and real-world AI deployment tools.
Yes, the program is designed to make you job-ready by providing real-world projects, portfolio building, and industry-relevant skills required for roles like AI Engineer, GenAI Developer, LLM Engineer, and AI Solutions Architect.
After completion, you can apply for roles such as AI Engineer, Generative AI Developer, RAG Specialist, AI Agent Developer, and Machine Learning Engineer, with opportunities in startups, tech companies, and enterprise organizations.
Approved Training Partner
Approved Training partner under the scheme for market-led fee-based services by NASSCOM
