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Advanced Certification in Generative AI & Prompt Engineering

Join DizitalAdda’s 6-month Advanced GenAI & Prompt Engineering course and master tools like ChatGPT, Gemini, LangChain & Hugging Face. Learn by building real-world AI applications, designing intelligent prompts, and deploying cutting-edge solutions as your gateway to the future of AI.

  • Learn from Industry Experts
  • 100% Practical & Hands-On Training
  • Work on Real AI Projects
  • Build a Job-Ready AI Portfolio

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Let's Discuss What You Want

I want to know what's latest in market

Duration: 6 Months / 144 Hours Mode: Hybrid (Online + Offline) 100% Placement Support Rating: 4.58 ★ (1434 ratings) Level: Beginner Friendly

Key Skills Covered

AI Fundamentals Machine Learning Generative AI Prompt Engineering LLMs Python for AI Data Analysis Natural Language Processing (NLP) Transformers LangChain Retrieval-Augmented Generation (RAG) Vector Databases Streamlit Gradio Text Generation Image Generation Audio Generation Capstone Projects Portfolio Development Resume Building Mock Interviews Job 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

  • Learn AI fundamentals
  • Set up Python tools
  • Install key libraries
  • Train basic AI models
  • Explore real-world use cases
AI Basics Python Setup TensorFlow PyTorch Model Training

Python Programming & Data Foundations

  • Master Python syntax
  • Use Pandas & NumPy
  • Visualize with Matplotlib
  • Analyze real-world datasets
  • Build a data project
Python Pandas NumPy Matplotlib Data Analysis

Natural Language Processing & Text Analytics

  • Process text data
  • Perform sentiment analysis
  • Use tokenization & stemming
  • Build NLP classifiers
  • Deploy an NLP project
NLP Text Analytics Tokenization Sentiment Analysis Text Classification

Generative AI & Large Language Models

  • Use generative models
  • Fine-tune LLMs
  • Generate text & code
  • Understand LLM mechanics
  • Build GenAI applications
Generative AI LLMs GPT Text Generation Prompt Engineering

LangChain & Advanced AI Applications

  • Use LangChain tools
  • Combine AI components
  • Integrate external APIs
  • Build smart applications
  • Deploy real-world tools
LangChain LLM Integration API Integration Chatbot Development AI Workflow Automation

Capstone Projects & Career Preparation

  • Build real-world projects
  • Showcase AI portfolio
  • Prepare for interviews
  • Get career guidance
  • Demonstrate AI expertise
Capstone Project Portfolio Building AI Interview Prep Career Coaching Project Deployment

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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 prompt engineering in GenAI?

Prompt engineering is the process of creating and refining input prompts to guide AI models like GPT to generate the most relevant and accurate outputs.

What does a GenAI engineer do?

A GenAI engineer designs, develops, and optimizes AI models that generate content, such as text, images, or code, often improving prompt strategies.

What is the prompt engineer's salary?

Prompt engineers typically earn between $90,000 and $150,000 annually, based on experience, location, and company.

What is the concept of GenAI?

GenAI refers to AI systems that create new content like text, images, music, or code by learning from large datasets.

Can I learn GenAI & Prompt Engineering online?

Yes, the course is 100% online with hybrid live sessions, giving you flexibility to learn from anywhere.

How long does the certification take?

The full certification takes 6 months to complete, with flexible online and project-based learning.

Will I get hands-on experience?

Yes, the course is 70% practical and includes mini and major projects across each module.

What is a key principle of GenAI?

GenAI generates original content by learning patterns from data rather than copying existing material.

What is the difference between GenAI and LLM?

GenAI is a broader concept involving content generation across formats. LLMs are a specific subset of GenAI models focused on language understanding and generation.

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