atomcamp

Generative AI Bootcamp

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

PKR 20,000
  • 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

data science, Data science bootcamp, Data science trainings, AI Bootcamp, Artificial Intelligence Bootcamp
data engineering bootcamp, Data Science Bootcamp
data engineering bootcamp, data science bootcamp

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.

data science

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.