Generative AI Bootcamp
- Online
- 6th March
- 4 Weeks
- Monday-Thursday 9:00 PM - 10:30 PM (PKT)
PKR 20,000
Course Description
AI is revolutionizing the way we work, and this bootcamp will put you at the forefront. In just one month, you’ll gain hands-on experience building AI-powered tools and agents that automate workflows, generate content, and even interact with humans through voice and text. Whether you’re looking to advance your career or build your own AI-driven business, this course will give you the skills to make it happen.
What you will learn:
- Automate Tedious Tasks – Use AI to streamline workflows and boost productivity.
- Build AI-Powered Chatbots & Voice Assistants – Create AI agents that engage in natural conversations.
- Generate Content with AI – Learn how AI can write, create, and design for you.
- Work with OpenAI, LangChain & Pinecone – Integrate powerful AI models into your own projects.
Turn Your Skills Into a Career or Business – Learn how to monetize AI products or use them for job applications.
Course Curriculum
Introduction to Generative AI & Large Language Models (LLMs)
What is Generative AI? How does it differ from traditional AI?
Evolution of GenAI: From rule-based systems to deep learning
Overview of Neural Networks, Transformers, and Diffusion Models
Introduction to Large Language Models (LLMs): GPT, LLaMA, Falcon
Basics of Tokenization, Embeddings, and Attention Mechanisms
Hands-on: Running a simple text-generation model (GPT-2/3 via Hugging Face)
Working with LLMs & APIs
Pre-training vs. Fine-tuning vs. Instruction-tuning
Overview of OpenAI API, Hugging Face Transformers
Exploring pre-trained models and fine-tuning
Prompt Engineering: Basics & Best Practices
Hands-on: Building a chatbot using OpenAI API & Hugging Face
Fine-Tuning LLMs & Building Intelligent Agents
Difference between fine-tuning and prompt engineering
Transfer Learning: LoRA, PEFT for adapting AI models
Dataset preparation for fine-tuning LLMs
Hands-on: Fine-tune an LLM on a custom dataset (Google Colab)
Personal Branding - Freelancing Basics
Introduction to freelancing in AI
How to position yourself as a GenAI specialist
Finding high-paying projects on Upwork, Fiverr, and Toptal
AI for Text & Code Generation
Fundamentals of Encoder Decoder Models
How Code LLMs (Codex, StarCoder, CodeLLaMA) work
Hands-on: Training a custom text generation model & automating Python script generation
Retrieval-Augmented Generation (RAG) & Knowledge-Based AI
Concept of RAG and how it enhances LLMs
Working with FAISS for document retrieval
Hands-on: Implementing a Q&A chatbot with RAG using Pinecone/ChromaDB
Voice AI - Part 1 (Foundations & Use Cases)
What is Voice AI? Market opportunities & use cases
Understanding voice platforms: VAPI, Bland, Retell
AI-generated speech: Text-to-Speech (TTS), Speech-to-Text (STT)
Hands-on: Build your first voice assistant with a basic knowledge base
Project: Create a voice assistant that answers FAQs for a chosen niche
AI for Image & Audio Generation
Introduction to GANs & Diffusion Models (Stable Diffusion, MidJourney API)
AI-generated speech tools: Whisper, ElevenLabs, Bark AI
Hands-on: Generate AI-based images & create an AI voice generator
Personal Branding - Freelancing in AI (Advanced)
How to pitch AI projects to clients
Case study: How freelancers earn with AI-powered chatbots
Setting up an AI service agency
Portfolio building & landing AI gigs
Voice AI - Part 2 (Automation & Monetization)
Advanced automation for Voice AI using Make & Airtable
Integrating AI assistants into customer workflows
Hands-on: Design an automation workflow (e.g., automating customer follow-ups)
AI Monetization & Business Models
Differentiating between Generative AI & classic AI
Identifying AI business niches & revenue models
Pricing models & strategies for AI services
Activity: Present a niche, offer, and pricing strategy proposal
Voice AI - Part 3 (Automation & Monetization)
Advanced automation for Voice AI using Make & Airtable
Integrating AI assistants into customer workflows
Project: Automate responses for a voice assistant
Personal Branding - LinkedIn for AI Professionals
Optimizing your LinkedIn profile for AI jobs
How to showcase AI projects & attract recruiters
Writing AI-related case studies & posts
Deploying AI Models & AI in Business
Best practices for deploying AI models (Cloud, FastAPI, Gradio)
AI’s impact across industries (Finance, Healthcare, E-commerce, etc.)
Ethical AI & responsible AI practices
Hands-on: Deploy an AI chatbot with FastAPI
Final Capstone Project Presentations
Choose a real-world AI problem
Develop & present a working AI-powered solution
STANDARD MONTHLY
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For 1 Month
Who Should Join?
- Beginners Curious About AI
- Tech Enthusiasts & Developers
- Business Professionals & Entrepreneurs
- Students & Job Seekers
- Freelancers & Content Creators
No prior coding experience is required for the non-technical track!
Why Join This Bootcamp?
This Ramadan, invest in your professional growth and learn Generative AI.
Live Interactive Classes
Get real-time guidance from experts
TA Support & Mentorship
Get 1:1 support from Teaching Assistants
Freelancing Guidance
Learn how to monetize AI skills
Industry-Relevant Projects
Work on AI projects with real-world impact
Hands-on with OpenAI, LangChain & LLMs
Practical AI applications
Career & Portfolio Building
Learn to showcase your AI work
Certification Upon Completion
Stand out in the AI job market
How is GenAI different from AI?
Traditional AI
✓ Good for non-generative tasks
✓ Limited adaptability to unfamiliar cases
✓ Requires extensive training for domain-specific tasks
Generative AI
✓ Good for generative and non-generative tasks
✓ Good adaptabbility to unfamiliar cases
✓ Can be prompted for domain-specific tasks
Companies that offer GenAI course to its employees





Complete our Bootcamp and Become Job Ready
We help our successful graduates find Jobs and Internships, and also provide guidance in discovering Freelance opportunities.






Career Roles
AI Product & Business Roles
Can earn upto to $100,000/Year.
AI & Machine Learning Roles
Can earn salaries upto $120,000+/Year.
NLP & LLM-Based Roles
Get to work in advanced LLMs like DeepSeek, GPT, and Claude to earn $80,000/Year.
Voice AI & Automation Careers
Work on changing the front-end customer facing services of businesses and earn upto $100,000+/Year.
AI Deployment & Cloud Roles
Deploying AI models using FastAPI, Gradio, and cloud services for a solid career to earn $150,000/Year.
Freelancing & Entrepreneurship
Start your freelancing career on Upwork and be in the position to earn at least $1,000/Month.
Not Sure How We Teach? Take a Demo Class.
Join a free demo class and see how we make learning simple and fun!
Earn a Verified Certificate of Completion
Earn a data science certificate, verifying your skills. Step into the market with a proven and trusted skillset.

Meet Our Trainers

Mahnoor Salman
Mahnoor Salman is a Senior AI Engineer at atomcamp with a strong academic background—holding a degree in Electrical Engineering and an MBA from National University of Sciences and Technology (NUST)
Mahnoor has conducted international training sessions in the USA, KSA, and Azerbaijan across various industries, including manufacturing, banking, telecommunications, and healthcare. She has trained professionals from leading organizations such as Engro, UBL – United Bank Limited, Bank Alfalah Limited, National University of Sciences and Technology (NUST), Ministry of Planning Development and Special Initiatives, Careem, Jazz and many more.
As a star trainer at our bootcamps—such as the Data Science & AI Bootcamp, Data Engineering Bootcamp, and AI Bootcamp (in collaboration with NUST)—she is dedicated to empowering learners with cutting-edge knowledge.

Muhammad Umair
Frequently Asked Questions
No! The course includes both technical and non-technical tracks.
A laptop/computer and a free OpenAI API key for practice.
Yes! You will receive a certificate of completion after successfully completing the final AI project
All sessions will be recorded, and you’ll have lifetime access to them.