Professional GenAI & Prompt Engineering Certification (6 Months)
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?

- 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.
Lets Do a Quick Campus Tour!
Shall We?
Frequently Asked Questions
Frequently Asked Questions offers quick answers to common queries, guiding users through features and functionalities effortlessly.