Program Highlights

Program Curriculum

1. Foundations of Applied GenAI Systems

Prompt engineering pipelines
Token, context & response control mechanisms
Evaluation pipelines
End-to-end RAG pipelines
Embedding-based semantic search systems
Context-aware Q&A over enterprise knowledge
Multi-step agent workflows with tool calling
Autonomous task execution systems
AI agents integrated with APIs
API-based GenAI services
Local & cloud-ready deployments
End-to-end architectures
Enterprise document intelligence platform
Autonomous workflow automation agent
AI assistant combining RAG + Agent workflows
Course comparison
Book your visit at upGrad's Offline Centre
Industry case studies & real projects
Learn through real-life industry projects sponsored by top companies across industries
Enterprise Document Intelligence Platform
Build an RAG-based system for searching, summarizing, and querying large document repositories.
Autonomous Workflow Automation Agent
Design agent workflows that plan tasks, call tools, and execute multi-step actions.
AI Assistant with RAG + Agentic Workflows
Combine retrieval, reasoning, and tool execution into a single AI system.
End-to-End Deployed Capstone Project
Design, build, and deploy a complete GenAI & Agentic AI system with APIs and UI.
360 Career Support
Eligibility
Admission process

What our learners has to say

Mansi Kodgire

CTC ₹9.5 LPA

Kranti Patil

CTC ₹15 LPA

Santosh Rath

CTC ₹7 LPA

Dhanshri Jagdale

CTC ₹6.5 LPA

Aditya Patil

CTC ₹5 LPA

Mentored by top professionals
Alok Chauhan
Alok Chauhan
Instructor Data Science Upgrad
10+ years of experience in DA/DS, Ex-L&T, New Holland, Data Arc. Has served on-site for clients in Hongkong, Nepal and Germany.
Shalini Singh
Shalini Singh
Instructor Data Science Upgrad
12+ years of experience in data analytics, research, consultancy and academia. Ex-Deloitte with experience working with various ministries.
Sirisha Pamidipati
Sirisha Pamidipati
Instructor Data Science Upgrad
Skilled in data analytics and data science. Previously worked as Sr. Faculty – Data Analytics Training at ExcelR Edtech Pvt. Ltd., Bengaluru. Ex-faculty of BITS Pilani.
Rising Demand
Certificate
₹35,000 ₹75,000
Pay the full fee at the time of enrollment
Merit scholarship is offered to eligible learners
FAQs
Anyone who has completed graduation in any stream such as B.E., B.Tech, B.Sc, B.Com, or B.A. can apply. Freshers as well as working professionals are welcome. The program is designed for learners who want to build practical AI skills. It is suitable for those aiming to work in applied AI or GenAI roles.
No prior experience in Generative AI or Agentic AI is required. The program starts with the foundations of applied GenAI and builds step by step. Beginners can follow the structure easily. However, having a basic understanding of programming or logical thinking is helpful.
Basic programming knowledge is preferred but not mandatory. If you understand simple coding concepts or logical problem-solving, you will be able to keep up. The course focuses on practical implementation with guided support. You will practice through live projects and hands-on sessions.
Yes, this program is suitable for working professionals who want to upskill in AI. Flexible batch options such as morning, evening, and weekend are available. The course is structured to balance learning with work schedules. It helps professionals transition into applied AI roles.
The curriculum covers Foundations of Applied GenAI, RAG Systems, Agentic AI & Auto Workflows, Architecture & Deployment, and a Capstone project. You will learn to build prompt pipelines, design RAG systems, and create AI agents. The course focuses on real-world implementation. It also teaches deployment and system design for enterprise use.
You will learn to build and deploy production-ready GenAI applications. The program teaches how to design scalable RAG pipelines and create agent-based workflows. You will also understand token usage, model behavior, and cost management. By the end, you can own an AI project from start to finish.
Yes, the program includes 12+ live projects and industry-based case studies. You will work on real-life use cases such as document intelligence systems and workflow automation agents. These projects help you gain hands-on experience. The final capstone project demonstrates your ability to build a deployable AI system.
Yes, deployment is an important part of the curriculum. You will build API-based GenAI services and deploy applications locally or on the cloud. The program teaches system architecture, latency, cost, and scalability considerations. This ensures you are ready for production-level AI roles.
The total program fee is INR 75,000. This includes access to all courses, live projects, and programming tools. You also get placement assistance and three years of access to the career portal. The fee covers complete training and career support.
Yes, merit-based scholarships are available. Scholarships are offered based on eligibility and performance criteria. You can speak to an academic counsellor to understand the scholarship process. This helps make the program more affordable for deserving learners.
The fee includes hands-on training, 12+ live projects, and access to 15+ programming tools. You also receive 100% placement assistance and complete career services support. Resume building, mock interviews, and LinkedIn profile evaluation are included. The program focuses on both technical and career growth.
You can connect with an academic counsellor for complete details about payment options. They will guide you on the fee structure, scholarship eligibility, and batch selection. Simply submit your details through the enquiry form. The team will contact you and provide full assistance.