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.
Select a schedule that works best for you
Starts
04 Jul 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
06 Jul 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
11 Jul 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
13 Jul 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



See how we stand out from the competition
Well-structured, up-to-date curriculum designed by industry experts to build strong fundamentals and advanced knowledge.
Outdated or incomplete curriculum that may not cover current industry needs.
Extensive practical sessions, live demos, and hands-on exercises to ensure real learning.
Limited practical exposure with theory-heavy teaching approach.
Learn from certified professionals with years of industry experience and teaching expertise.
Instructors with limited industry experience or practical knowledge.
Work on real-world projects that enhance problem-solving skills and build a strong portfolio.
Lack of real-world projects or unrealistic practice examples.
Regular assignments, quizzes, and assessments to track progress and strengthen concepts.
Irregular assessments or no proper evaluation of learning.
Resume building, interview preparation, and placement assistance to boost your career.
Limited or no career support and placement assistance.
24/7 doubt resolution and personalized guidance from instructors whenever you need it.
Slow doubt resolution or limited support availability.
Industry-recognized certificate that validates your skills and enhances your career opportunities.
Certificates with little industry value or recognition.
Lifetime access to course content, recordings, and resources even after completing the course.
Limited access duration with extra charges for resources.
High-quality training at affordable prices with no hidden costs and flexible payment options.
High course fees with hidden charges and no flexibility.
Master In Generative AI Training – Associate
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
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
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
Sr. No. 30/2/1, 3rd Floor, Above Rajrshi Shahu Bank & BOB Balaji Nagar, Dhankawadi, Katraj, Pune, Maharashtra 411043
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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