A comprehensive program covering Generative AI foundations, LLMs, prompt engineering, RAG, fine-tuning, multimodal AI, deployment, and real-world enterprise use cases.
A comprehensive program covering Generative AI foundations, LLMs, prompt engineering, RAG, fine-tuning, multimodal AI, deployment, and real-world enterprise use cases.
Level
Advanced
Duration
8 weeks
















The Master in Generative AI Training program is an advanced, end-to-end curriculum designed to build strong conceptual and practical expertise in modern Generative AI systems. Delivered through Jast Tech, this course takes learners from core AI and deep learning principles to cutting-edge Large Language Models, diffusion models, and multimodal AI applications. Participants gain hands-on experience with prompt engineering, vector databases, retrieval-augmented generation (RAG), fine-tuning LLMs, and deploying scalable AI solutions. The program emphasizes real-world implementation using industry tools such as OpenAI APIs, Hugging Face, LangChain, and cloud platforms. Learners explore responsible AI practices, security considerations, and performance optimization techniques required in enterprise environments. By integrating theory with applied projects, this course prepares professionals for roles such as Generative AI Engineer, AI Solution Architect, and Applied LLM Specialist. The curriculum is structured to match current industry demands, ensuring learners can confidently design, build, and deploy production-ready Generative AI systems across domains like healthcare, finance, education, and content automation.
The Master in Generative AI Training program is an advanced, end-to-end curriculum designed to build strong conceptual and practical expertise in modern Generative AI systems. Delivered through Jast Tech, this course takes learners from core AI and deep learning principles to cutting-edge Large Language Models, diffusion models, and multimodal AI applications. Participants gain hands-on experience with prompt engineering, vector databases, retrieval-augmented generation (RAG), fine-tuning LLMs, and deploying scalable AI solutions. The program emphasizes real-world implementation using industry tools such as OpenAI APIs, Hugging Face, LangChain, and cloud platforms. Learners explore responsible AI practices, security considerations, and performance optimization techniques required in enterprise environments. By integrating theory with applied projects, this course prepares professionals for roles such as Generative AI Engineer, AI Solution Architect, and Applied LLM Specialist. The curriculum is structured to match current industry demands, ensuring learners can confidently design, build, and deploy production-ready Generative AI systems across domains like healthcare, finance, education, and content automation.
Job Roles You Can Achieve
After completing this course
Foundations of AI & Generative Models
Establishes the mathematical and conceptual base needed to understand how generative systems learn data distributions and create new content.
Neural Networks & Transformers
Explains why transformers power modern LLMs and how attention enables contextual understanding at scale.
Large Language Models (LLMs)
Focuses on how LLMs are built, optimized, and used in production systems.
Prompt Engineering & Optimization
Teaches systematic methods to control LLM outputs for accuracy, reasoning, and consistency.
Embeddings & Vector Databases
Covers the backbone of semantic search and contextual retrieval in AI applications.
Seven intentional milestones — from first session to dream job.
Hands-on experience with real-world scenarios designed for mastery.
Enterprise Knowledge Assistant using RAG
Custom Fine-Tuned LLM for Domain-Specific Q&A
Multimodal Content Generation Platform
Select a schedule that works best for you
Starts
23 May 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
25 May 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
30 May 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
01 Jun 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



Master In Generative AI Training – Associate
SAA-C03
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
Curated questions with expert answers to help you ace your next interview.
Q1: What is Generative AI?
Generative AI refers to models that learn data distributions and generate new content such as text, images, audio, or code.
Q2: What problem does RAG solve?
RAG reduces hallucinations by grounding model responses in external, retrievable knowledge sources.
Q3: Difference between fine-tuning and prompt engineering?
Prompt engineering modifies inputs to guide outputs, while fine-tuning updates model weights for deeper adaptation.
Q4: Why are transformers important in LLMs?
Transformers handle long-range dependencies efficiently using attention mechanisms, enabling contextual understanding.
Q5: What are embeddings used for?
Embeddings convert data into vector representations that capture semantic meaning for search and retrieval tasks.
Support
Can't find what you're looking for? Reach out to our support team anytime.
Q1: Who should take this course?
This course is ideal for software engineers, data scientists, ML engineers, and tech professionals aiming to specialize in Generative AI.
Q2: Are coding skills required?
Yes, basic Python knowledge is required. Advanced AI concepts are taught from the ground up.
Q3: Does the course cover real-world tools?
Yes, it includes OpenAI APIs, Hugging Face, LangChain, vector databases, and cloud deployment practices.
Q4: Is this course suitable for enterprise roles?
Absolutely. The curriculum is aligned with enterprise AI architecture and deployment standards.
Q5: Will I build hands-on projects?
Yes, multiple production-style projects are included to reinforce practical skills.
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JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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