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Professional GenAI & Prompt Engineering Certification (6 Months)

A 6-month hybrid certification program designed to take learners from beginner to expert in Generative AI and Prompt Engineering. The course blends theory (30%) with practical learning (70%) and includes real-world projects to make learners industry-ready AI professionals.

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Course Modules

Module 1 - Python Programming Fundamentals

  • Build solid programming foundation for AI development
  • Covers Python syntax, data structures, OOP, and debugging
  • Includes projects like personal finance tracker and web scraper

Module 2 - Database Management & SQL Mastery

  • Master relational databases, SQL, and NoSQL basics
  • Hands-on with SQLAlchemy and Google Cloud SQL
  • Includes database design and query optimization

Module 3 - Data Analysis & Visualization

  • Perform EDA, statistical analysis, and visual storytelling
  • Use NumPy, Pandas, Seaborn, and Plotly
  • Major Project: Business Intelligence Dashboard

Module 4 - Machine Learning Essentials

  • Learn supervised and unsupervised ML techniques
  • Hands-on with scikit-learn, feature engineering, and model evaluation
  • Major Project: End-to-End ML Pipeline for CRM Ticket Analyzer

Module 5 - Deep Learning Fundamentals

  • Understand neural networks, CNNs, and RNNs
  • Use TensorFlow and PyTorch for image and time series tasks
  • Projects: Handwriting recognition, stock forecasting

Module 6 - Advanced Deep Learning Applications

  • Explore transfer learning, ResNet, BERT, and GPT
  • Deploy models with TensorFlow Serving, Core ML
  • Major Project: AI-Powered Object Detection System

Module 7 - NLP Fundamentals & Modern Techniques

  • Tokenization, embeddings (Word2Vec, GloVe), transformers
  • Use NLTK, spaCy, Hugging Face, Sentence Transformers
  • Projects: Resume screener, news sentiment analyzer

Module 8 - Generative AI & Large Language Models

  • Learn about GPT, Claude, LLaMA, and multimodal AI
  • Text generation, summarization, image generation
  • Major Project: AI Content Creation Platform

Module 9 - Prompt Engineering Mastery

  • Master Chain-of-Thought, ReAct, Tree-of-Thoughts
  • Create reusable prompt templates and optimize them
  • Projects: Code review bot, AI writing assistant

Module 10 - RAG Systems & Vector Databases

  • Understand RAG architecture, embeddings, hybrid search
  • Use Pinecone, FAISS, LangChain for document retrieval
  • Major Project: Enterprise Knowledge Management System

Module 11 - Autonomous AI Agents

  • Build AI agents using ReAct, AutoGPT, and LangChain
  • Enable tool calling, planning, and multi-agent systems
  • Projects: Social media manager, research assistant

Module 12 - Production Deployment & MLOps

  • Learn MLOps, CI/CD, model versioning and monitoring
  • Capstone Project: Full-stack AI business application
  • Deploy production-grade AI systems with ROI analysis

What Have We Achieved?

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  • Our Digital Marketing for Professionals course at DizitalAdda has empowered over 1,000+ professionals to launch successful careers in top digital marketing agencies. Graduates have secured prestigious roles as SEO specialists, social media managers, content strategists, and digital marketing experts at renowned global brands.
  • Recognized by industry leaders for its practical curriculum, our course blends real-world strategies with cutting-edge tools. Alumni have earned accolades for their impactful campaigns, gaining recognition from clients and industry experts alike.
  • Students graduate with a strong digital marketing portfolio, showcasing successful projects. Many have attracted top-tier clients, securing freelance opportunities and full-time positions at leading marketing firms and brands.

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Frequently Asked Questions

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