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Diploma in Gen AI & Prompt Engineering

Join DizitalAdda’s Diploma in Generative AI & Prompt Engineering and master cutting-edge tools like ChatGPT, Gemini, and LangChain. This 12-month hybrid course offers hands-on learning, real-world projects, and expert mentorship of your pathway to becoming an AI industry leader.

  • Learn from Industry Experts
  • 100% Practical & Project-Based Training
  • Work on Real AI Use Cases
  • Build a Strong, Job-Ready Portfolio

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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 Guarantee Rating: 4.66 ★ (2304 ratings) Level: Beginner Friendly

Key Skills Covered

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

Build Skills That Companies Are Looking For

Our curriculum is designed to match real industry needs, so you're job-ready for roles at companies like TCS, Wipro, Google, and Infosys.

TCS Wipro Google Microsoft Infosys

*Companies mentioned are examples of industry relevance. Logos shown for aspirational and educational purposes only.

Course Modules

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

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What Have We Achieved?

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  • DizitalAdda is a trusted name in tech training, with over 5,000+ successful students and an 85% placement rate. Our hands-on approach and industry-relevant curriculum have helped students land jobs at top companies like Google, Amazon, and Microsoft. We equip learners with the skills needed to excel in the ever-evolving tech world.
  • 1000+ students trained in AI & ML tools : Learners gain hands-on mastery in Python, SQL, Scikit-learn, and TensorFlow — covering EDA, machine learning, deep learning, NLP, and BI tools to build real-world, production-ready models.
  • 80% placed in AI roles : Roles include Prompt Engineer, Generative AI Specialist, and ML Engineer. Projects include building content generators, smart chatbots, and text-based automation systems.

Lets Do a Quick Campus Tour!

What Our Learners Say

"This course was a game-changer. The real projects and mentorship helped me land my first job in AI!"

— Anjali Sharma, GenAI Developer

"Not just theory — we built real GenAI tools! The hands-on approach made learning so much easier."

— Rahul Verma, Prompt Engineer

"I loved the hybrid mode. I could learn remotely and still attend live weekend sessions with mentors."

— Sneha Patel, ML Intern

Frequently Asked Questions

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

What is GenAI & Prompt Engineering?

GenAI refers to generative AI that creates content like text or images. Prompt Engineering is the art of crafting inputs to guide AI models effectively.

What is a 1-year diploma in GenAI & Prompt Engineering?

A 12-month in-depth course covering the tools, theory, and hands-on projects is required to become a skilled GenAI developer and prompt engineer.

What skills will I gain from this diploma?

You'll learn advanced prompting, LLM usage, real-world GenAI tools, ethical AI practices, and deployable AI applications.

Who should take this diploma course?

Ideal for beginners, professionals, developers, content creators, and marketers interested in AI.

Are there any prerequisites?

No prior experience needed. A basic understanding of Python and AI helps, but the course starts from scratch.

What is the average salary after this diploma?

Between $90,000 to $150,000+ annually depending on role and location.

What tools and platforms will I learn?

OpenAI (ChatGPT, DALL·E), Hugging Face, LangChain, Python, Gemini, and more.

Will I get hands-on experience?

Yes — through mini-projects, case studies, capstone projects, and live feedback.

Is this course available online?

Yes, with live sessions, recorded content, and flexible schedules.

What industries hire GenAI professionals?

Tech, healthcare, education, marketing, product, e-learning, and e-commerce.

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