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Master Generative AI: Build, Train, and Deploy Cutting-Edge AI Models

This comprehensive course covers the fundamentals of Generative AI, including key concepts, models, and techniques like GANs, VAEs, and Transformers. Learn to build, train, and deploy generative models for text, images, and audio. Perfect for beginners and advanced learners alike, this course includes hands-on projects, real-world applications, and industry insights.

Generative AI Course
Generative AI — practical mastery

Generative AI

Go beyond the hype. Understand how large language models work, master prompt engineering, build retrieval-augmented generation pipelines, create AI-powered applications, and apply generative AI responsibly — built for professionals, developers, and creators who want to lead in the AI era.

Certificate
You will get Medhavi Skills Certificate
Partnership
Insta Infotech × Medhavi Skills University
Recognition
NCrF aligned learning pathway
GenAI capability stack
LLMs, Transformers & Prompt Engineering
GPT, Gemini, Claude — how they work and how to use them
Models
 
RAG, Fine-tuning & AI Agents
LangChain, vector databases, and autonomous workflows
Build
 
Image Generation, Multimodal & Ethics
DALL-E, Stable Diffusion, and responsible AI
Apply

Models, applications, and responsible deployment — each layer taught as part of one real GenAI project.

 
Program overview

More than ChatGPT prompts.

This course builds genuine AI fluency. Students move from understanding how transformer-based models generate content, to engineering high-quality prompts, building retrieval-augmented systems, and deploying AI agents that can reason, plan, and act — grounded throughout by responsible AI principles and real-world constraints.

01 / Build real GenAI systems
Not just users — builders.

Move from using AI tools to building them. Work across LLM APIs, prompt pipelines, RAG systems, vector stores, and AI agents as one connected application.

02 / Think in model behaviour
Understand the engine

Understand why LLMs hallucinate, how temperature and sampling shape output, and what fine-tuning actually changes — so you can control results instead of guessing.

03 / Career signal
Portfolio and interview prep

Shape your GenAI projects into something you can demonstrate on GitHub, present in interviews, and deploy as real tools in your professional work.

 
Learning journey

A clearer learning flow.

The progression moves from AI foundations and how LLMs work, through prompt engineering and multimodal generation, into building RAG pipelines, AI agents, and deploying real GenAI applications responsibly.

Step 01
GenAI Foundations
What is generative AI, how transformers work, discriminative vs generative models, and the AI landscape.
Step 02
Prompt Engineering
Zero-shot, few-shot, chain-of-thought prompting, system prompts, and prompt optimisation techniques.
Step 03
Image & Multimodal AI
DALL-E, Stable Diffusion, Midjourney, image-to-text, and multimodal model capabilities.
Step 04
RAG & Fine-tuning
Vector databases, embeddings, LangChain, retrieval-augmented generation, and model fine-tuning basics.
Step 05
AI Agents & Deployment
Agentic workflows, tool use, responsible AI, bias and safety, and capstone GenAI application.
 
Syllabus

Structured for job-relevant output.

Topics organized into clean thematic groups so the section feels premium and is easy to scan.

Models and prompting
  • Transformers, LLMs, GANs, and VAEs
  • GPT, Gemini, Claude, and open-source models
  • Prompt engineering — zero-shot to chain-of-thought
Building GenAI apps
  • LangChain, vector databases, and embeddings
  • RAG pipelines and knowledge-grounded systems
  • Image generation — DALL-E and Stable Diffusion
Agents and ethics
  • AI agents, tool calling, and agentic workflows
  • Responsible AI — bias, hallucinations, and safety
  • Capstone GenAI project
 
Certification and recognition

Make the credential visible, not buried.

You will receive a Medhavi Skills Certificate. The program is presented through Insta Infotech's partnership with Medhavi Skills University, and the learning pathway is aligned with the National Credit Framework (NCrF).

Why this matters
 
Certificate visibility
Now highlighted in the hero and repeated in the certification block.
 
University partnership
Medhavi Skills University is treated as a trust signal, not a small footer note.
 
Recognition cue
NCrF alignment is framed as a formal learner benefit.

  • Applications of Generative AI (text, images, audio, video).
  • Differences between discriminative and generative models.
  • Overview of the generative AI landscape.

  • Probability distributions and Bayesian inference.
  • Latent spaces and embeddings.
  • Loss functions for generative models.

  • GAN architecture: Generator and Discriminator.
  • Training GANs: Challenges and techniques (e.g., mode collapse, vanishing gradients).
  • Types of GANs: Conditional GANs, CycleGANs, StyleGANs.

  • VAE architecture: Encoder, Decoder, and Latent Space.
  • Reparameterization trick and KL divergence.
  • Applications of VAEs in image and data generation.

  • Transformer architecture: Self-attention and positional encoding.
  • GPT (Generative Pre-trained Transformer) for text generation.
  • DALL-E and CLIP for image generation.

  • Introduction to diffusion models.
  • How diffusion models work: Forward and reverse processes.
  • Applications in image and video generation.

  • Bias and fairness in generative models.
  • Misinformation and deepfakes.
  • Responsible AI practices and regulations.

  • Synthetic data generation for training ML models.
  • AI art and design tools.
  • Deploying generative models in production (e.g., cloud, edge devices).

  • Build a text-to-image generation pipeline.
  • Create a music or audio synthesis model.
  • Develop a custom GAN for a specific use case (e.g., fashion, healthcare).

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Certificate and Accreditation

Accreditation Certificate

Professional Diploma Certificate

Skills Certificate

Brand Registration

Trust & Validation

UGC-Recognized Skilled Qualifications for the Modern Global Workforce

University Certification
University Certification

Earn industry-relevant Certificates and Diplomas awarded by Medhavi Skills University, a UGC-recognized University. Insta Infotech is Approved Training Partner of Medhavi Skills University, ensuring quality education and credible certification.

Certificate Verification
Certificate Verification

All Certificates and Diplomas are digitally verifiable through Government of India platforms, including Skill India Digital Hub (MSDE), ABC.gov.in (Ministry of Education), and DigiLocker, ensuring authenticity and nationwide recognition.

Credit-Based Course (NCrF)
Credit-Based Course (NCrF)

Our courses are aligned with the National Credit Framework (NCrF) under the National Education Policy (NEP) 2020. Learners earn academic credits that strengthen their skill-based education profile and can be seamlessly transferred toward higher education pathways.

Global Recognition
Global Recognition

NCrF-aligned skill credits are recognized across the UK, EU, and Australian education systems. Through MSU’s global partnerships, learners benefit from dual certification opportunities and accelerated pathways to international degree programs.

Skill India Mission
Skill India Mission

Insta Infotech empowers learners with future-ready skills. Backed by the Skill India Mission and our academic partnership with Medhavi Skills University, we bridge the gap between education and employment through practical, hands-on learning and nationally recognized certifications.

Placement Support
Placement Support

Quality Skill Education — this is not merely a certificate of attendance, but a verified academic credential that enhances credibility and opens opportunities across MNCs, embassies, and government sectors.

Specializations

Skilled, Qualification, Certification

Course Credibility

Course Credibility

Our programs are certified by a recognized university, ensuring legal authenticity, academic validity, and strong professional acceptance. This means your qualification carries real value for employment, career advancement, and higher education.

Employability

Employability

Our programs combine practical training, real-world projects, and industry-relevant skills to prepare students for immediate employment. we ensure learners confidently transition from education to professional careers.

Global Standards

Global Standards

Our programs follow internationally aligned curricula and current industry requirements, ensuring learners gain globally relevant knowledge, practical competencies, and professional practices. This prepares students to adapt, compete, and work confidently.

National Alignment (Skill India)

National Alignment (Skill India)

Aligned with the Skill India Mission, we transform vocational training into a nationally recognized qualification, enabling our students to become part of India’s formal skilled workforce.

Academic Mobility (Credit-Based)

Academic Mobility (Credit-Based)

Through the National Credit Framework (NCrF), our courses are not merely extra-curricular; they are credit-earning modules that contribute directly toward your formal higher education pathway.

NEP 2020 Integration

NEP 2020 Integration

Aligned with the National Education Policy 2020, we transform traditional IT education into a multidisciplinary, skilled-based vocational pathway that enables students to earn formal academic credits.

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