Mastering ChatGPT from Scratch for Beginners: Real Project, Certification

Why Learn ChatGPT & Generative AI Now?

• AI is the Future – Every industry is adopting AI, and ChatGPT is at the center of this revolution.
• Supercharge Your Career Early – Learn the most in-demand skills before entering the job market.
• Stand Out in Projects & Interviews – AI-powered projects give you an edge over your peers.
• Boost Productivity & Creativity – Whether it’s for assignments, presentations, or coding, ChatGPT saves time.
• Zero Coding Needed to Start – You don’t need to be a tech wizard. This course is beginner-first and spoon-fed.

Discover the Power of ChatGPT – Tailored for Beginners!

Are you curious about AI but don’t know where to start? Our ChatGPT training for beginners is the perfect entry point to explore the world of Generative AI without feeling overwhelmed.

This beginner-friendly ChatGPT course with certificationis designed to take you from zero to confident — even if you’ve never used AI before.

You’ll learn how to use ChatGPT to write better, solve problems faster, and even automate daily tasks!

Get hands-on with ChatGPT training with best practices, real-world examples, and AI tools that you can start using today.

Whether you’re a student working on projects, a creator, or a future job-seeker, this course gives you practical skills and certification that stand out.

Don’t just scroll past AI — start using it like a prowith guidance that’s made for absolute beginners.

Introduction to ChatGPT

• What is ChatGPT?
• History and Evolution of AI & LLMs
• Difference between ChatGPT, GPT-3.5, GPT-4, Claude, Gemini, etc.
• What ChatGPT can and cannot do?
• Common use cases for beginners, freelancers, and professionals

Understanding Generative AI

• What is Generative AI? How does it work?
• Generative AI Tools / Models
• Evaluation of GenAI

Foundation of Large Language Models (LLMs)

• What is an LLM?
• Neural Networks, Transformers & Attention
• Understanding Parameters, Tokens, and Embeddings
• Pre-training vs Fine-tuning
• Popular LLMs (GPT-3, GPT-4, Claude, Gemini, Midjourney, and more)
• Open-source LLMs  (GPT-J, LlaMa, FLAN-T5, BERT, CodeGen, Phi and more)

How ChatGPT Understands Language

• Language Modeling
• Next Word Prediction
• How responses are generated
• Why ChatGPT sometimes goes off track (Hallucination)

Understanding the Transformer Architecture

• Define Transformers Architecture
• Introduction to Attention Mechanism
• Understand Encoder, Decoder and Encoder-decoder
• Key Layers ( 7 Layers)
• Understanding Query (Q), Key (K), and Value (V)

Tokenization, Context Window, Chunking

• What is Tokenization?

• Real-life examples using Tokenizer tools

• Context Windows explained (why models forget)

• Chunking: Concept and use in long document prompts

• Tips to structure prompts based on context size

Prompt Engineering – Basics to Advanced

• What is Prompt Engineering?

• Types of prompts: Zero-shot, Few-shot, Chain-of-Thought

• Prompt structuring frameworks (e.g., P.R.E.P., R.I.D.E)

• Common prompt patterns

• Role prompting, contextual prompting

• Multi-turn conversation design

Prompt Usage Techniques

• Zero-shot Learning
• One-shot Prompt
• Few-shot Learning
• Fine-tuning

Challenges with chatGPT & Avoiding Hallucinations

• What are AI hallucinations?

• Why they occur in LLMs

• How to spot hallucinations

• Techniques to reduce or eliminate them (Fact-checking, Source links)

ChatGPT – LLM key Parameters

• Temperature: Creativity vs Precision

• Top-k Sampling

• Top-p (Nucleus Sampling)
• When to use which setting

• Real-world effects with examples

• Prompt tuning with parameter combinations

Understand Prompt Engineering Models

• Retrieval-Augmented Generation (RAG) 
• Chain-of-Thought (COT)
• ReAct (Reasoning and Acting)

Real-World Use Cases of ChatGPT

• Content creation Automation 
• AI content Writing Assistant

• Personal Tutor for Coding

• Business Email Composer

• Chatagent Development

• Creative Writing (Stories, Scripts, Poems)

• Code review assistance

AI Ethics & Safe Use of ChatGPT

• Bias in AI

• Data Privacy & ChatGPT

• Ethical prompt crafting

• Jailbreaking and its dangers

• Responsible AI usage

Understand LLMs Pre-training and Tuning 

• Computational Linguistics used in LLM Training and execution
• Understanding Data Pipeline (AI Pipeline) and Preprocessing (Data Cleaning)

Why Take This Generative AI Course?

• Beginner-Friendly, Hands-On Learning – No prior AI experience required! Start from scratch and build practical AI models.
• Industry-Relevant Skills – Work with LLMs, RAG, AI Agents, and Cloud Deployments just like AI professionals.
• Master Prompt Engineering – Learn how to craft powerful prompts to get better AI-generated responses.
• Fine-Tune AI Models – Adapt GPT, Google Gemini, and Meta LLaMA for real-world applications.
• Deploy AI in the Cloud – Train and host your models on GCP, and Azure to build scalable AI solutions.

By the end of this course, you’ll have in-demand Generative AI skills and a portfolio of real AI projects that showcase your expertise.

AI Frameworks & Libraries:

• LangChain / LlamaIndex (For building AI-powered applications)
• PyTorch or TensorFlow (Optional, but useful if you want to fine-tune models)
• Vector Databases (ChromaDB, Pinecone, FAISS) (For Retrieval-Augmented Generation – RAG)

Bonus: Hands-on Projects to Build Expertise

• Build and Train AI Agent using Gemini / OpenAI API + RAG
• Work with AI-Powered Image Generator (DALL-E, Think Diffusion)
• Deploy AI agents 

Tools & Platforms We work on :

• Google Cloud
• Google Vertex AI
• AI Agents
• Meta’s LlamaIndex
• OpenAi, Gemini and claude API