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Diploma in Generative AI & Prompt Engineering in Delhi | DizitalAdda

DizitalAdda's 12-Month Diploma in Generative AI & Prompt Engineering is a comprehensive, job-oriented program designed for students, graduates, developers, and working professionals looking to build advanced AI skills. Rated 4.9/5 by 25,000+ students with a 97% placement rate, the diploma covers Python, Machine Learning, Deep Learning, NLP, Large Language Models (LLMs), Prompt Engineering, LangChain, Vector Databases, RAG, AI Agents, MLOps, Cloud Deployment, and real-world AI application development. Through hands-on projects, portfolio building, live training, career guidance, and dedicated placement support, learners gain the practical expertise needed to launch or advance a successful career in the rapidly growing Generative AI industry.

  • 12 Months / 288 Hours — Python, ML, Deep Learning, Transformers, LangChain, RAG
  • Advanced Transformers: BERT, GPT Fine-tuning, GANs, VAEs, Multi-model AI & LLM
  • 97% Placement Rate — GenAI Engineers, LLM Developers & AI Product Engineers
  • Low-Code AI Agents, Agentic Workflows & Enterprise RAG Pipeline Deployment Included
  • Skill India & MSME Certified — 4.9/5 Rating from 25,000+ Students
  • Hybrid Mode: Greater Kailash II, South Delhi + Fully Live Online

Let's Discuss What You Want

I want to know what's latest in market

Duration: 12 Months / 288 Hours Mode: Hybrid (Online + Offline) 100% Placement Assistance Rating: 4.9 ★ (1043 ratings) Level: Beginner Friendly

Key Skills Covered

Prompt Engineering icon Prompt Engineering ChatGPT icon ChatGPT Gemini icon Gemini Claude icon Claude AI/ML with Python icon AI/ML with Python Generative AI - Text icon Generative AI - Text Generative AI - Image icon Generative AI - Image Generative AI - Video icon Generative AI - Video Generative AI - Audio icon Generative AI - Audio Natural Language Processing (NLP) icon Natural Language Processing (NLP) Computer Vision icon Computer Vision Transformers icon Transformers LangChain icon LangChain Retrieval-Augmented Generation (RAG) icon Retrieval-Augmented Generation (RAG) Vector Databases icon Vector Databases Streamlit icon Streamlit Gradio icon Gradio Cloud Deployment icon Cloud Deployment MLOps icon MLOps Multi-modal AI icon Multi-modal AI Capstone Projects icon Capstone Projects Resume Building icon Resume Building Interview Preparation icon Interview Preparation

Why Choose Dizitaladda's Diploma in Generative AI & Prompt Engineering Course in India

YOUR BENEFITS
01100% Placement Assistance
02Paid In-house Internship
03Real-Life Brand Projects
0410+ Certification
05Lifetime LMS Support
06Affordable Fee Structure
07Updated Course Syllabus (2026)
08Experienced Industry Trainers

Key Highlights

  • 100% Placement Assistance
  • Practical Knowledge of Live Projects
  • Live Classes by Expert Trainers
  • Paid Internship (In-House)
  • 250+ Tie-ups with Recruiters
  • 10+ Certifications
  • Offline | Online Mode of Learning
  • Trained 25000+ Students
  • Mock Interviews
  • Flexible Batches
  • Class Recordings Provided
  • E-Study Material Provided
Contact us

DIGITAL MARKETING COURSE WITH PLACEMENTS

★★★★★ 5.0 — Rated by 25000+ Placed Students

Best Expert Digital Marketing Course
with Placement

Our Expert Digital Marketing Course is designed to deliver real career results, not just certificates. We focus on practical training, live projects, and a structured placement process that prepares students for real industry roles. Students learn to work on tools like Google Ads, Meta Ads, Google Analytics, and SEO platforms, making them job-ready for startups, agencies, and growing businesses.

97% Placement Rate
10.05L Highest CTC
250+ Recruiting partners
25000+ Students Placed

Course Roadmap

What Will You Learn?

Ai Foundations & Setup

  • AI basics and applications
  • Set up Python & Jupyter
  • Install AI libraries
  • Run simple AI models
  • Train basic neural nets
AI Basics Jupyter Notebook TensorFlow PyTorch Model Training

Python Programming & Data Science

  • Learn Python syntax
  • Use core data structures
  • Work with Pandas & NumPy
  • Clean and analyze data
  • Plot using Matplotlib
Python Pandas NumPy Data Cleaning Matplotlib

Machine Learning Fundamentals

  • Supervised vs unsupervised learning
  • Train ML models
  • Use regression and trees
  • Evaluate model metrics
  • Data preprocessing techniques
Machine Learning Model Training Regression Model Evaluation Data Preprocessing

Natural Language Processing Foundations

  • Tokenization & stemming
  • Use NLTK and SpaCy
  • Text classification models
  • Sentiment analysis tasks
  • Real-world NLP examples
NLP Text Processing NLTK SpaCy Sentiment Analysis

Deep Learning Fundamentals

  • Neural network concepts
  • Explore CNN & RNN
  • Train deep models
  • Use TensorFlow & Keras
  • Apply to images & text
Deep Learning CNN RNN Keras TensorFlow

Advanced Nlp & Transformers

  • Advanced NLP techniques
  • Understand BERT & GPT
  • Train transformer models
  • Text classification tasks
  • Fine-tune for tasks
Transformers BERT GPT Text Generation Model Fine-tuning

Generative Ai Foundations

  • Learn generative models
  • Work with GANs & VAEs
  • Create images & text
  • Explore real-world GenAI
  • Understand use cases
Generative AI GANs VAEs Image Generation Text Generation

Langchain & Llm Orchestration

  • Build apps with LangChain
  • Integrate LLMs effectively
  • Connect to external tools
  • Use pipelines for tasks
  • Automate complex workflows
LangChain LLM Orchestration Tool Integration Prompt Chaining Workflow Automation

Vector Databases & Rag Architecture

  • Store data with vectors
  • Implement RAG pipelines
  • Connect LLMs to databases
  • Improve search results
  • Enhance AI performance
Vector Databases RAG Architecture LLM Integration Search Optimization AI Retrieval Systems

Low-code Agents & Automation

  • Build low-code agents
  • Use platforms for automation
  • Create smart workflows
  • Deploy agents in real-time
  • Solve business problems
Low-code Tools AI Agents Automation Workflow Design Agent Deployment

Major Projects & Portfolio Development

  • Work on real projects
  • Create diverse solutions
  • Host projects on GitHub
  • Build portfolio site
  • Prepare for interviews
Project Development GitHub Portfolio Web Hosting Capstone Projects Interview Readiness

Career Preparation & Placement

  • Mock interview sessions
  • Resume and LinkedIn polish
  • Personal career guidance
  • Job search strategies
  • Placement support access
Resume Building LinkedIn Branding Mock Interviews Career Mentorship Job Search

Digital Marketing Skills That You'll Learn

Performance Marketing
Programmatic Advertising
Search Engine Optimization
Search Engine Marketing
Copywriting & Creative Thinking
Problem Solving
CV and Interview Prep
Excel Reporting and Analysis
AI AI & Automation Skills
AI LLM Optimization
AI Answer Engine Optimization
AI AI-Powered Audience Targeting
AI Generative AI for Content
AI AI Creative & Ad Generation
AI Predictive Analytics & Forecasting
AI AI Prompt Engineering
Brand Marketing
Conversion Rate Optimization
Content Marketing
Analytics & Data Interpretation
Social Media Marketing
Workplace Communication
Personal Storytelling
Interpersonal & Behavioral Skills

Digital Marketing Live Projects

Gain real experience with LIVE projects
for hands-on Digital Marketing Learning

1 2
Project 1:

Meta Ads

Duration: 15 Hours (& 15 Days Live Campaign)

Description:

You'll plan, launch, and optimise a real Facebook and Instagram ad campaign for a live brand — from audience research and ad creative design to budget management, A/B testing, and performance reporting.

  • Meta Business Suite Setup & Pixel Configuration
  • Audience Research & Targeting Strategy
  • Ad Creative Design & Copywriting
  • Campaign Launch, A/B Testing & Optimisation
  • Performance Report & ROAS Analysis
Presentations and Mock Interviews

*Brands change every batch

Project 2:

Google Ads Campaign

Duration: 15 Hours (& 10 Days Live Campaign)

Description:

You'll build and manage a full Google Ads campaign for a real brand — covering keyword research, ad copy writing, Search and Display campaign setup, bid strategy management, and conversion tracking.

  • Keyword Research & Match Type Strategy
  • Search & Display Campaign Setup
  • Ad Copywriting & Ad Extension Configuration
  • Bid Strategy & Quality Score Optimisation
  • Conversion Tracking & Campaign Performance Report
Presentations and Mock Interviews

*Brands change every batch

Project 3:

SEO & Content Strategy

Duration: 20 Hours (& 30 Days of Implementation)

Description:

You'll build a full SEO and content strategy for a real brand — from site audit and keyword mapping to on-page optimisation, blog planning, and tracking organic growth on Google Search Console.

  • Website SEO Audit & Competitor Analysis
  • Keyword Research & Content Calendar
  • On-Page & Technical SEO Implementation
  • Monthly Organic Traffic Report
Presentations and Mock Interviews

*Brands change every batch

Project 4:

Search AI

Duration: 10 Hours (& 14 Days of Implementation)

Description:

You'll learn how AI is transforming search — and build a real strategy to make a brand's content visible across AI-powered search engines, Answer Engines, and Large Language Models.

  • AI Overview & Generative Search Audit
  • Answer Engine Optimisation (AEO) Strategy
  • LLM Optimisation (LLMO) Content Structuring
  • AI Search Visibility Report & Recommendations
Presentations and Mock Interviews

*Brands change every batch

Project 5:

Content Writing & Blogging

Duration: 15 Hours (& 21 Days of Publishing)

Description:

You'll research, write, and publish SEO-optimised blog posts for a real brand — applying keyword strategy, content structure, internal linking, and AI writing tools to drive measurable organic traffic.

  • Topic Research & SEO Keyword Mapping
  • Writing & Publishing 3 SEO-Optimised Blog Posts
  • Internal Linking & On-Page Content Optimisation
  • Blog Performance Tracking via Google Search Console
Presentations and Mock Interviews

*Brands change every batch

Project 6:

WordPress Website Build

Duration: 15 Hours (& 14 Days of Optimisation)

Description:

You'll design and build a fully functional WordPress website for a real brand — covering theme customisation, page building, plugin setup, speed optimisation, and basic on-page SEO implementation.

  • Domain, Hosting Setup & WordPress Installation
  • Theme Customisation & Page Builder Design
  • Plugin Configuration (SEO, Speed, Security)
  • Mobile Responsiveness & Core Web Vitals Optimisation
  • On-Page SEO Setup & Google Search Console Submission
Presentations and Mock Interviews

*Brands change every batch

Project 7:

Email & WhatsApp Marketing Campaign

Duration: 10 Hours (& 14 Days of Campaign)

Description:

You'll design and launch a full email and WhatsApp marketing campaign for a real brand — building subscriber lists, writing drip sequences, setting up automation, and analysing open rates and click performance.

  • Email List Building & Audience Segmentation
  • Email Campaign Design & Copywriting (Mailchimp / Brevo)
  • WhatsApp Business & Automation Setup
  • Drip Sequence & Broadcast Campaign Launch
  • A/B Testing & Campaign Performance Analysis
Presentations and Mock Interviews

*Brands change every batch

Project 8:

Google My Business (Local SEO)

Duration: 10 Hours (& 21 Days of Optimisation)

Description:

You'll fully optimise a real business's Google My Business profile — covering local keyword strategy, review management, photo optimisation, post scheduling, and local search ranking improvement.

  • Google Business Profile Setup & Verification
  • Local Keyword Research & Category Optimisation
  • Photo, Description & Service Section Optimisation
  • Review Generation Strategy & Response Management
  • Local Search Ranking Report & Insights Analysis
Presentations and Mock Interviews

*Brands change every batch

Project 9:

Canva Brand Design & Visual Identity

Duration: 10 Hours (& 30 Days Content Calendar)

Description:

You'll create a complete visual identity system for a real brand using Canva — designing a brand kit, social media templates, ad creatives, and a 30-day content calendar with ready-to-publish posts.

  • Brand Kit Creation (Logo, Colours, Fonts, Voice)
  • Social Media Template Design (Instagram, Facebook, LinkedIn)
  • Ad Creative & Banner Design for Campaigns
  • 30-Day Content Calendar with Scheduled Posts
  • Brand Style Guide Documentation
Presentations and Mock Interviews

*Brands change every batch

Project 10:

Video Editing

Duration: 10 Hours (& 14 Days of Content Production)

Description:

You'll produce and edit real video content for a brand's digital marketing channels — including YouTube videos, Instagram Reels, and short-form ads — using professional video editing tools with transitions, captions, and music.

  • Video Scripting & Storyboarding
  • Editing with Filmora / Adobe Premiere Pro
  • Reels, Shorts & YouTube Video Production
  • Caption, Subtitle & Motion Graphics Addition
  • Platform Optimisation & Publishing Strategy
Presentations and Mock Interviews

*Brands change every batch

Digital Marketing Tools

Hands-on Digital Marketing Training on Industry's Leading Tools

You'll get practical exposure to core tools used for tracking, SEO, ads, content creation, automation, and campaign optimization across modern digital marketing workflows.

Our Professional Programs

Industry-aligned certifications and job-oriented programs designed for beginners, professionals, and advanced learners who want practical digital marketing growth.

Choose Your Perfect Learning Path

Compare our courses and find the right fit for your digital marketing journey

Expert Level

Expert in Digital Marketing

12 Months

  • 70 Comprehensive Modules
  • 60+ AI Tools Integration
  • Advanced SEO & Analytics
  • Digital Strategy Development
  • Leadership Training
  • 1-on-1 Mentorship
  • Real Project Portfolio
  • Industry Certification

Perfect For:

Future Digital Marketing Leaders & Entrepreneurs

Advanced Level

Advanced Digital Marketing

6 Months

  • 60 Detailed Modules
  • 54+ AI Tools Coverage
  • Comprehensive SEO
  • Content Strategy
  • Campaign Management
  • Group Mentorship
  • Practice Projects
  • Course Certification

Perfect For:

Marketing Professionals & Career Switchers

Professional Level

Digital Marketing For Professionals

4 Months

  • 40 Focused Modules
  • 50+ AI Tools Overview
  • Essential SEO Skills
  • Social Media Marketing
  • Basic Analytics
  • Weekly Mentorship
  • Mini Projects
  • Digital Certificate

Perfect For:

Working Professionals & Quick Learners

Beginner Level

Digital Marketing For Beginners

3 Months

  • 30 Basic Modules
  • 40+ AI Tools Introduction
  • Basic SEO Concepts
  • Digital Marketing Basics
  • Marketing Fundamentals
  • Group Learning
  • Guided Projects
  • Completion Certificate

Perfect For:

Students & Career Starters

Your Path to Success

Your Journey With Us

From day one to your dream career ? here's exactly how we take you there, step by step.

Step 1
Step 01

Enrollment

Meet your personal course counsellor, choose the right batch, and enrol with a clear plan — your learning roadmap starts here.

Course Selection 1-on-1 Counselling Flexible Batches
Step 2
Step 02

Training

Attend live expert-led classes across 70 modules, with session recordings on LMS and hands-on practice with 60+ AI tools every week.

Live Expert Classes 70 Modules 60+ AI Tools
Step 3
Step 03

Live Projects

Run actual campaigns on real brand accounts — SEO, Google Ads, Meta Ads, and content — and build a verified portfolio with measurable results.

Real Brand Campaigns Verified Portfolio Mentor Reviews
Step 4
Step 04

Certification

Earn 10+ recognised certifications from Google, Meta, HubSpot, Semrush, Skill India, and DizitalAdda — each tied to a module you have completed.

Google Certified Meta Blueprint 10+ Certificates
Step 5
Step 05

Internship

Complete a paid in-house internship at DizitalAdda's own agency — manage live client accounts and build professional work experience before you graduate.

Paid Internship Live Client Accounts Agency Experience
Step 6
Step 06

Placement / Freelancing

Get placed through 500+ recruiter partners or launch your freelance career — DizitalAdda's placement team supports you until you are earning.

100% Placement Assistance 250+ Recruiters Freelance Support
For Everyone

Who Should Join This Expert Digital
Marketing Course
?

This expert digital marketing course with AI tools is built for people who are ready to go all in. Here is exactly who will benefit most.

Working Professionals

Transition into digital marketing or add it as a high-income skill alongside your current job — with flexible batches, expert mentorship, and a paid internship that gives you real agency experience before you switch roles.

Students & Fresh Graduates

Graduate with a portfolio of live campaigns and 10+ certifications that prove campaign-level competence to recruiters — so you stand out over every other applicant with the same degree and no experience.

Homemakers

Build a freelance income managing social media, running ads, or offering SEO services — all from home, at your own pace, with DizitalAdda's placement team supporting both job seekers and freelancers equally.

Entrepreneurs & Business Owners

Learn to run your own Google Ads, SEO, and Meta campaigns — so you stop overpaying agencies, understand every report they send, and grow your business with a strategy you control and can measure.

Career Switchers

Switch into digital marketing from any field — with a 12-month structured roadmap, a portfolio of real campaign results, a paid internship for legitimate work experience, and a placement team that helps you frame your career change to recruiters.

Freelancers & Content Creators

Turn your creative skills into measurable results clients pay premium rates for — by adding SEO, paid ads, performance analytics, and AI tools to your existing content and social media expertise.

Real Stories

Students Testimonials

What Students Say

Student Reviews

Digital Marketing Certification

Dizitaladda's Digital Marketing Course
in India Helps You Get Hired!

About Dizitaladda's Certification

DizitalAdda's Expert Digital Marketing Certification is awarded after completing India's most comprehensive 12-month digital marketing programme — and it is recognised across the industry because it comes with a verified portfolio of real campaign results, not just a score on a test. Unlike generic online certificates, this credential is backed by live project evidence that every recruiter can verify.

The certification covers every core digital marketing skill: SEO, Paid Marketing, Google Ads, Meta Ads, Social Media Marketing, Content Writing, Email Automation, Analytics, and AI tools in marketing. Your certification portfolio includes 10+ credentials — from DizitalAdda, Google, Meta Blueprint, HubSpot, Semrush, Skill India, and Digital India — each tied to a specific module you completed and a skill you demonstrated on a live campaign.

This is not just another line on your CV — it is your launchpad to roles paying ₹4.5–10.05 LPA at companies like Flipkart, Growisto, Myntra, Nykaa, and 250+ more. DizitalAdda graduates have a 97% placement rate — because this certification tells recruiters exactly what you can deliver.

Learn From The Best

Learn From an Industry
Expert Digital Marketing Mentors

At Dizitaladda, you don't learn from generic YouTube educators or recorded slides. Your trainers are full-time digital marketing professionals who run live campaigns, manage real budgets, and deliver results every single day.

What We Have Achieved?

  • DizitalAdda has trained 25000+ of students and working professionals through practical Digital Marketing and Web Development programs designed for real industry needs. With hands-on learning, live projects, and career-focused training, the institute has helped learners build successful careers in top companies, startups, agencies, and freelance industries across India.
  • The institute’s contribution to skill-based education has also been recognized through prestigious industry honors, including the Indian Icon Award presented by Dr. Kiran Bedi, the Bharat Business Award presented by Ashneer Grover, and The Excellence Award by The Hotel School. These recognitions highlight DizitalAdda’s commitment to quality training, student success, and innovation in digital education.
  • At DizitalAdda, students gain real-world experience by working on live campaigns, SEO projects, social media strategies, AI-powered marketing tools, and website development tasks. The focus is not only on learning concepts but also on building portfolios, improving practical skills, and preparing students for real corporate environments with confidence and industry-ready expertise.
Award
Award
Award

Experience Learning in a Professional Campus

Training Room
Study Zone
Corridor
Classroom
Seminar Hall
Live Session
Workshop
Group Activity
Campus Lounge

Our DizitalAdda campus reflects a real corporate digital marketing environment — focused, distraction-free, and performance-driven with state-of-the-art facilities.

Small Batches

Max 15 students per batch for personalized attention

Corporate Setup

Real project desks & live industry tools

Expert Mentors

10+ years industry experience instructors

Next Batch Starts In:
: :
Only 18 seats left

Free Session

Book a Free Demo Class

Choose a date and book your free demo session in just a few clicks. Once you fill in your details, our team will confirm your slot within 24 hours and guide you through the next steps.

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1-hour live session with actual course curriculum
100% free demo class with zero hidden charges
Personalised career counselling after the session
Option to attend online or offline (Delhi/NCR)
← Pick a date from the calendar

Frequently Asked Questions

Frequently Asked Questions offers quick answers to common queries, guiding users through features effortlessly.

What is the difference between DizitalAdda Advanced GenAI Certification (6 months) and the Diploma in Generative AI & Prompt Engineering (12 months)?

DizitalAdda offers two levels of Generative AI education that differ in depth, scope, and career trajectory. The Advanced Certification in Generative AI & Prompt Engineering (6 months / 144 hours) covers the core GenAI engineering stack — AI foundations, Python, NLP, LLMs, LangChain, RAG, and multi-modal generation — and is designed for students who want to enter AI roles quickly or add verified GenAI skills to an existing technical profile. It is the right choice for candidates who want a focused, fast-track GenAI qualification. The Diploma in Generative AI & Prompt Engineering (12 months / 288 hours) covers the complete AI engineering stack — including Machine Learning Fundamentals, Deep Learning (CNNs, RNNs, TensorFlow, Keras), Advanced NLP & Transformers (BERT, GPT fine-tuning), Generative AI Foundations (GANs, VAEs), the full LangChain and LLM Orchestration stack, RAG Architecture, Low-Code Agents and Multi-modal AI, Cloud Deployment, and MLOps (Docker, CI/CD, model monitoring). The diploma is the right choice for candidates who want to qualify for senior AI engineering roles (Rs 15–50 LPA), transition from traditional software development into GenAI engineering, or build the deepest possible AI credential for Delhi-NCR GCC and product company hiring pipeline. Call +91-8810606010 for a counselling session to identify the right programme for your background.

What is deep learning and why is it a prerequisite for generative AI mastery?

Deep learning is a subfield of machine learning that uses multi-layered artificial neural networks (inspired by the structure of the human brain) to automatically learn complex representations and patterns from large datasets — without manual feature engineering. It is the foundational technology underlying virtually every major AI breakthrough of the last decade, including image recognition, speech-to-text, machine translation, and generative AI. The architecture components of deep learning taught in DizitalAdda Diploma: Artificial Neural Networks (ANNs) — the basic building blocks of all deep learning systems; Convolutional Neural Networks (CNNs) — specialised for image and spatial data processing, used in computer vision, object detection, and image generation; Recurrent Neural Networks (RNNs) and LSTMs — specialised for sequential data (text, time series, speech); they are the precursor to Transformers; Transformers — the attention-based architecture that replaced RNNs for most NLP tasks and powers all modern LLMs (BERT, GPT, Gemini); TensorFlow and Keras — the primary deep learning frameworks for model building and training; PyTorch — the framework preferred by AI researchers and increasingly used in production LLM development. Deep learning is a prerequisite for generative AI mastery because understanding how neural networks learn representations is what allows a GenAI engineer to fine-tune LLMs effectively, design RAG architectures with appropriate embedding models, evaluate model quality, and debug underperforming AI systems. DizitalAdda Diploma in GenAI teaches deep learning as Module 5 before advancing to Transformers, GenAI, and LLM engineering. Call +91-8810606010.

What is BERT and GPT and what is the difference between them?

BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer) are both Transformer-based language models that represent different architectural philosophies for processing and generating language. BERT (developed by Google) is an encoder-only Transformer trained with a masked language model objective — it is optimised for understanding the meaning of existing text by processing it bidirectionally (left to right and right to left simultaneously). BERT excels at classification, entity recognition, question answering from context, and semantic similarity tasks. It is the architecture behind Google search understanding improvements. Fine-tuned BERT models are used extensively in sentiment analysis, document classification, and information extraction tasks in production AI systems. GPT (developed by OpenAI) is a decoder-only Transformer trained with a next-token prediction objective — it is optimised for generating text by predicting the next word in a sequence. GPT-3, GPT-4, and the underlying architecture of ChatGPT are all scaled versions of this decoder-only architecture. GPT excels at text generation, code generation, creative writing, summarisation, and conversational AI. In LangChain and RAG applications, the LLM component is almost always a GPT-family model or equivalent decoder model (Gemini, Claude, LLaMA). Understanding the distinction between encoder models (BERT) and decoder models (GPT) is essential for choosing the right model for each component of a GenAI application — embedding models use encoder architectures; generation models use decoder architectures. DizitalAdda Diploma in GenAI covers Advanced NLP & Transformers as a dedicated module. Call +91-8810606010.

What are GANs and VAEs and how are they used in generative AI?

Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) are two foundational generative model architectures that were the dominant approaches to image generation before diffusion models became mainstream in 2022. GANs (introduced by Ian Goodfellow in 2014) consist of two competing neural networks: a Generator that creates synthetic images (or other data) from random noise, and a Discriminator that classifies images as real or fake. The two networks compete in a training game — the generator tries to fool the discriminator, and the discriminator tries to correctly identify fakes — until the generator produces outputs indistinguishable from real data. GANs are used for face synthesis (deepfakes), art generation, data augmentation, and super-resolution image enhancement. VAEs (Variational Autoencoders) are a probabilistic generative architecture that learns a compressed latent space representation of data and generates new examples by sampling from that latent space. VAEs produce smoother, more controllable generations than GANs but with less sharp detail. Modern image generation tools (Stable Diffusion, DALL-E, Midjourney) use diffusion model architectures rather than pure GANs or VAEs — but VAE components are still used as encoder-decoders within diffusion systems. For GenAI engineers, understanding GANs and VAEs provides the conceptual foundation for working with diffusion models, fine-tuning image generation systems, and evaluating generative model quality. DizitalAdda Diploma in GenAI covers GANs and VAEs in the Generative AI Foundations module. Call +91-8810606010.

What is MLOps and why is it important for generative AI careers?

MLOps (Machine Learning Operations) is the discipline of deploying, monitoring, managing, and maintaining machine learning and AI models in production environments — bridging the gap between data science model development and robust, reliable, scalable production deployment. It is the AI equivalent of DevOps for software engineering. In 2026, MLOps is the second-highest-paying AI specialisation in India after GenAI engineering, with senior MLOps engineers at product companies and GCCs earning Rs 20–45 LPA — because MLOps solves the problem that directly costs companies money: AI models that break, drift, or degrade silently after deployment without detection or automated remediation. MLOps skills covered in DizitalAdda Diploma include: Docker (containerising AI models for reproducible deployment across environments); CI/CD Pipelines for ML (automating model testing, validation, and deployment); Model Serving (exposing trained models as APIs via FastAPI, Flask, or cloud platform serving); Model Monitoring (tracking prediction quality degradation, data drift, and system health using tools like MLflow); and Cloud AI Platform deployment (AWS SageMaker, Google Vertex AI, Azure ML for scalable production serving). For diploma graduates from DizitalAdda, MLOps knowledge creates a genuine career premium: GenAI engineers who can build a RAG pipeline and also deploy, monitor, and maintain it in production are significantly more valuable than those who can only prototype in notebooks. Call +91-8810606010.

What is multi-modal AI and what careers does it lead to?

Multi-modal AI refers to AI systems that can process, understand, and generate multiple types of data — text, images, audio, and video — either separately or in combination. The shift from single-modality AI (text-only LLMs, image-only vision models) to multi-modal AI is one of the most significant developments in GenAI in 2024–2025. Leading multi-modal AI systems include GPT-4o (processes text, images, and audio; generates text and audio); Gemini 1.5 Pro (processes text, images, audio, video, and code); Claude 3.5 (processes text and images with strong visual reasoning); and Stable Diffusion XL and DALL-E 3 (text-to-image generation). Applications of multi-modal AI in India 2026 job market: AI content creation platforms (generating social media posts with matching images from a brief); e-commerce product description and image generation from raw product specs; healthcare AI (combining medical imaging analysis with clinical text report generation); education and e-learning (automated course content generation with visual aids); and customer service automation (voice + text + image understanding for comprehensive support chatbots). For GenAI engineers, multi-modal AI skills command a significant salary premium because they require understanding both the text modality (LLM architecture) and the visual modality (diffusion models, CLIP). DizitalAdda Diploma in GenAI covers multi-modal AI and low-code agent building in a dedicated module. Call +91-8810606010.

What are AI agents and agentic AI and why are they the next frontier of generative AI?

AI agents are autonomous AI systems that use large language models as their reasoning engine to plan, make decisions, select and use tools, execute multi-step tasks, and adapt to unexpected outcomes — without requiring step-by-step human instruction for each action. An AI agent given the goal research the top 5 competitors of our product and create a comparison report will independently: search the web for competitor information; read and summarise relevant web pages; extract key comparison data; structure the data into a comparative table; and write a formatted report — all autonomously, using tools available to it. In 2026, agentic AI is the fastest-growing and highest-premium area of GenAI engineering. The most used agentic AI frameworks are LangGraph (built on LangChain, for graph-based multi-step agent workflows); CrewAI (for multi-agent systems where specialised AI agents collaborate on complex tasks); AutoGen (Microsoft framework for multi-agent conversational systems); and LlamaIndex (for data-augmented agentic applications). Agentic AI developer roles in India in 2026 pay Rs 12–20 LPA at entry and Rs 25–50+ LPA at senior levels — the highest-growth salary segment in the entire AI engineering market. DizitalAdda Diploma in GenAI covers low-code AI agents and multi-agent workflows as a dedicated curriculum module, giving graduates an early-mover advantage in this emerging hiring category. Call +91-8810606010.

What is cloud deployment for AI and which cloud platforms should I learn?

Cloud deployment for AI is the process of making trained machine learning and generative AI models accessible to users and applications through scalable, reliable, cloud-hosted infrastructure — rather than running models only on local machines or shared development environments. For AI engineers, cloud deployment is the final step that converts a working prototype into a production product, and it is a skill that directly differentiates candidates who can only build models from those who can ship AI products. The three major cloud platforms with dedicated AI/ML deployment services — all covered in DizitalAdda Diploma in GenAI: AWS SageMaker (Amazon end-to-end ML platform — model training, deployment, endpoint serving, monitoring, and feature store management; the most widely used ML platform at Indian enterprise and GCC clients of IT services firms). Google Vertex AI (Google unified ML platform — integrating Gemini API access, model training, RAG pipeline deployment, and MLOps tooling; increasingly used at Delhi-NCR Google Cloud partner firms). Azure Machine Learning and Azure OpenAI Service (Microsoft ML and GenAI platform, tightly integrated with Azure Active Directory for enterprise use; the dominant platform at India large Microsoft enterprise clients). Additionally, the diploma covers Docker for containerising AI models (essential for any cloud deployment), FastAPI for building AI model serving APIs, and CI/CD pipelines for automating model retraining and redeployment. Cloud-certified AI engineers in India command a 20–30% salary premium over equivalent non-cloud-skilled profiles. Call +91-8810606010.

What is the career scope of the Diploma in Generative AI & Prompt Engineering in India in 2026?

The career scope of a Generative AI & Prompt Engineering diploma in India in 2026 is exceptional and expanding faster than any comparable technical qualification. Four structural factors create this: First, demand-supply gap: NASSCOM 2026 India AI Skills Report estimates India needs 1 million additional AI and ML professionals by 2026 — current supply meets less than 20% of that demand, creating a hiring market where qualified GenAI graduates have significantly more job opportunities than competitors in traditional software development. Second, salary premium: GenAI engineers command a 30–60% salary premium over equivalent-experience traditional developers — a fresh GenAI diploma graduate with a strong project portfolio enters the market at Rs 8–15 LPA, versus Rs 3–6 LPA for a standard web development diploma holder. Third, multi-sector demand: GenAI roles are no longer concentrated in tech companies alone — banks (fraud detection, customer chatbots), insurance companies (claims automation), healthcare platforms (medical report summarisation), e-commerce companies (product description generation, personalised recommendations), and media companies (AI content creation) all actively hire GenAI engineers in 2026. Fourth, long-term durability: unlike some technology cycles, the fundamental shift toward AI-powered software development is structural — NASSCOM, Gartner, and the World Economic Forum all project AI skills to be the primary technical differentiator across industries through 2030 and beyond. DizitalAdda 12-month Diploma in GenAI is structured to capitalise on this window. Call +91-8810606010.

Is the Diploma in Generative AI & Prompt Engineering suitable for working professionals?

Yes — and DizitalAdda Diploma in Generative AI & Prompt Engineering is specifically designed to accommodate working professionals in Delhi-NCR who want to upskill into GenAI roles without interrupting their current employment income. Three programme features make this possible. First, the Hybrid format: in-person sessions at Greater Kailash II, South Delhi, and fully live online sessions are available across Morning (10 AM–12 PM), Evening (7–9 PM), and Weekend (Saturday–Sunday, 10 AM–1 PM) batches — working professionals typically choose Evening or Weekend batches, which require 2–4 hours per day of focused time outside work. Second, the LMS (Learning Management System): all live sessions are recorded and accessible for replay within 24 hours, meaning professionals who miss a class due to work commitments can catch up without falling behind on the curriculum. Third, the return on investment is direct: a working professional in Delhi-NCR who completes the diploma and transitions from a traditional software or data role to a GenAI engineering role can expect a 30–60% salary increase based on current market data — the diploma pays for itself within the first few months of a new role. Call +91-8810606010 for a personalised career counselling session tailored to your current role and target AI career.

What is the fee for DizitalAdda Diploma in Generative AI & Prompt Engineering?

DizitalAdda Diploma in Generative AI & Prompt Engineering is a 12-month / 288-hour programme with an all-inclusive fee covering all 12 curriculum modules, capstone AI projects across every module, LangChain and Hugging Face tool access, RAG and Vector Database labs, Deep Learning and Transformer training environments, MLOps and Cloud Deployment labs, 10+ certifications, mock AI technical interviews, resume and GitHub AI portfolio building, and 100% placement assistance. Flexible EMI available. No hidden charges. Call +91-8810606010 or visit dizitaladda.com/courses/diploma-in-genai-and-prompt-engineering for current fee and next batch date.

What certifications come with DizitalAdda Diploma in Generative AI & Prompt Engineering?

Students completing the Diploma in Generative AI & Prompt Engineering receive 10+ certifications including: DizitalAdda Diploma in Generative AI & Prompt Engineering; Skill India certification; Python for Data Science and AI certification; Deep Learning and Transformers module certificate; LangChain and LLM Orchestration certificate; RAG Architecture and Vector Database certificate; MLOps and Cloud Deployment certificate; and GitHub AI portfolio certifications for each major capstone project. Call +91-8810606010.

Can I attend DizitalAdda Diploma in GenAI online from outside Delhi?

Yes. DizitalAdda Diploma in Generative AI & Prompt Engineering is available in fully live online format accessible from anywhere in India. All 12 modules are delivered as live, interactive sessions with real-time Q&A, coding labs, LangChain and RAG pipeline walkthroughs, and project feedback — identical to in-person delivery. LMS recordings are available within 24 hours for all sessions. Evening (7–9 PM) and Weekend (Saturday–Sunday, 10 AM–1 PM) batches are available online. Call +91-8810606010 or WhatsApp to schedule a free online demo.

Does DizitalAdda Diploma in GenAI cover Cloud Deployment and MLOps?

Yes. Cloud Deployment & MLOps is a dedicated 12th module in DizitalAdda Diploma in Generative AI & Prompt Engineering, covering Docker containerisation of AI models, CI/CD pipeline automation, model serving via FastAPI, model monitoring with MLflow, and cloud AI platform deployment via AWS SageMaker, Google Vertex AI, and Azure Machine Learning. Graduates who complete this module are qualified for both GenAI engineering roles and MLOps engineering roles — the two highest-paying AI specialisations in India 2026–2027 job market. Call +91-8810606010.

What placement support does DizitalAdda provide for Diploma in GenAI graduates?

100% placement assistance: 250+ tech and AI hiring partners including GCCs, IT services firms, fintech companies, and product startups; AI-specific resume and GitHub portfolio optimisation; mock technical AI interviews covering LLM fundamentals, LangChain architecture, RAG design, Transformer concepts, and MLOps scenarios; LinkedIn AI Engineer profile building; and direct recruiter introductions to GenAI engineer, LLM developer, AI product engineer, and MLOps engineer roles — no time limit until placed. Call +91-8810606010.

How do I book a free demo class for DizitalAdda Diploma in Generative AI?

Visit dizitaladda.com/courses/diploma-in-genai-and-prompt-engineering, call +91-8810606010, or WhatsApp the same number. The demo is a 1-hour live session covering AI foundations or a Python-for-AI practical demonstration using actual course content — not a sales pitch — followed by a no-obligation career counselling session. Attend online from home or in-person at Greater Kailash II, South Delhi. Completely free. Batch seat confirmation within 24 hours.

What batch timings are available for DizitalAdda 12-month Diploma in GenAI?

Morning (10 AM–12 PM), Afternoon (2–4 PM), Evening (7–9 PM), and Weekend (Saturday–Sunday, 10 AM–1 PM) batches — all in Hybrid mode (in-person at Greater Kailash II, South Delhi + fully live online). The 12-month diploma is structured so that each weekly batch covers one to two modules progressively, with project submission deadlines spaced to accommodate working professionals managing existing employment alongside learning. New batches start every 2–3 weeks year-round. Call +91-8810606010 for the next batch date.

Is DizitalAdda Diploma in GenAI recognised by the government?

Yes. DizitalAdda is Skill India and MSME certified — government-recognised credentials. The Diploma in Generative AI & Prompt Engineering carries Skill India certification on completion. DizitalAdda is also ISO certified and an Indian Icon Award recipient (presented by Dr. Kiran Bedi). For employer verification in Delhi-NCR AI hiring market, the GitHub portfolio of deployed AI projects (RAG pipelines, LangChain applications, MLOps deployments) is consistently the most decisive hiring credential — Skill India and DizitalAdda certifications provide the institutional backing. Call +91-8810606010.