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Specialization - 12 course series
Introduction to Generative AI
Establishes foundational understanding of Generative AI, LLMs, diffusion models, and real-world applications.
Tools / Technologies: Python, Google Colab
Assignments : Write a brief on Generative AI use cases; explore demo tools
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Python & Data Handling for GenAI
Covers Python essentials, working with text and datasets for AI applications.
Tools / Technologies : Python, Pandas
Assignments :Perform text/data preprocessing tasks
Foundations of NLP for GenAI
Introduces text processing, tokenization, embeddings, and transformers overview.
Tools / Technologies : NLTK, spaCy
Assignments : Build text preprocessing pipeline
Large Language Models (LLMs)
Deep dive into LLMs, architectures, and how models like GPT work.
Tools / Technologies : Hugging Face Transformers
Assignments : Run inference using pre-trained LLM
Prompt Engineering
Teaches crafting effective prompts, zero-shot, few-shot, and chain-of-thought prompting.
Tools : OpenAI API / Prompt tools
Outcome: Create prompt library for different use cases
Working with APIs & SDKs
Covers integrating LLM APIs into applications and handling responses.
Tools : OpenAI API, Python
Outcome: Build a chatbot using API
Retrieval-Augmented Generation (RAG)
Introduces vector databases and combining retrieval with generation.
Tools : LangChain, FAISS
Outcome :Build a document Q&A system
Fine-Tuning & Custom Models
Covers basics of fine-tuning and adapting models to specific datasets.
Tools : Hugging Face, LoRA (intro)
Outcome : Fine-tune a small model (demo level)
Generative AI for Images
Introduces diffusion models, image generation, and editing.
Tools : - Stable Diffusion, DALL·E
Outcome: Generate and modify images
Generative AI Applications
Build real-world applications like chatbots, content generators, and assistants.
Tools : LangChain, APIs
Outcome : Develop a GenAI application
Deployment & Scaling
Covers deploying GenAI apps, optimization, and cost considerations.
Tools : Docker, FastAPI
Outcome : Deploy GenAI app as API
Capstone Project & Career Development
End-to-end GenAI project and portfolio building.
Tools : - All tools integrated
Outcome: GitHubBuild and present a complete GenAI project
Gen AI
Curriculum
LEVEL:
Beginner to Intermediate
FOCUS :
Core IT, Cloud Fundamentals, and Hands-on Cloud Deployment Skills
GOAL:
Prepare learners for foundational cloud roles and certifications (AWS CCP, AZ-900, GCP Digital Leader)
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