Learn AI. Build Real Things.
Practical AI education, technical bootcamps, and real-world projects for the next generation of builders, creators, and engineers.
Upcoming AI Programs
Carefully sequenced cohort schedules designed to take you from foundational AI literacy to end-to-end engineering.
AI — Scratch to Industry
From Your First Line of Code to Building Real AI Models
A hands-on AI bootcamp where you learn by building three working models — NLP, Deep Learning, and Applied AI — all portfolio-ready and industry-relevant.
- ✦ Days 1–2: AI Foundations, Python Libraries & Build an NLP Model
- ✦ Days 3–4: Deep Learning Model & Applied AI Project
- ✦ Days 5–6: Evaluation, Debugging, Showcase & Deployment Basics
AI — Data2Decisions
Turn Raw Data into Intelligent Business Decisions
Data Analytics, Data Science, and AI combined to solve real business problems. Build dashboards, predictive models, and AI-powered reports — ending with a full business case study.
- ✦ Days 1–2: Business KPIs, Data Thinking & EDA with Pandas
- ✦ Days 3–4: BI Dashboards & Predictive Modeling
- ✦ Days 5–6: AI Business Intelligence & Capstone Case Study
AI Content Creator Weekdays
Learn how to generate viral visual media, high-engagement posters, AI video sequences, natural human voiceovers, animated auto-captions, and multi-platform content repurposing.
- ✦ Day 1 (14 Nov): AI Image Generation, Poster Design, Copywriting & Hook Engines
- ✦ Day 2 (15 Nov): Short Videos, Realistic AI Voiceovers, Subtitles & Multi-Post Distribution
- ✦ Key Deliverable: Complete Ready-to-Publish Multi-Platform Content Pack
AI From Zero to AI Builder
Comprehensive end-to-end foundation covering AI productivity, document research assistants, visual creation, code-free web applications, and automation.
- ✦ Days 1–3: Productivity Kits, PDF Research Assistants & Design Assets
- ✦ Days 4–6: Video Creation, Web Application Building & Automations
- ✦ Day 7: Custom Capstone AI Project Showcase & Certificate
Data Science & Machine Learning
Go from raw datasets to trained, evaluated, and deployed machine learning models. Master data cleaning, statistical modeling, Scikit-learn, and Streamlit.
- ✦ Days 1–4: Python Data Science, Cleaning, EDA & Statistics
- ✦ Days 5–8: ML Foundations, Regression, Classification & Real Project
- ✦ Days 9–10: Streamlit App Deployment & GitHub Portfolio
Generative AI, LLMs & AI Agents
From your first LLM API call to building autonomous AI systems that reason, retrieve vector knowledge, call external tools, and perform multi-step workflows.
- ✦ Days 1–4: LLM Foundations, Prompt Engineering, APIs & RAG Embeddings
- ✦ Days 5–8: Agent Architecture, Tool Calling, n8n Automation & Memory
- ✦ Days 9–10: Full Custom AI Agent Product & Deployment
Choose Your Learning Path
Whether you are building practical AI tools or engineering autonomous AI systems, follow a clear roadmap tailored to your experience.
BEGINNER Track
For individuals seeking an end-to-end foundation: from prompt mastery and document analysis to no-code web tools and workflow automations.
TECHNICAL Track
For students and analysts wanting to clean real-world data, train predictive models with Scikit-learn, and deploy interactive ML web apps.
ADVANCED AI Track
For builders and software developers ready to implement retrieval-augmented generation (RAG), vector search, tool calling, and autonomous multi-agent pipelines.
Real AI Projects You Will Build & Deploy
Every Core Lab bootcamp is 100% project-centric. Graduate with tangible proof of your skills — from deployed machine learning dashboards to autonomous AI agents.
Autonomous Multi-Tool Research Agent & RAG System
An enterprise-grade autonomous AI agent system capable of multi-step reasoning. Pairs dense vector database retrieval (RAG) with dynamic tool calling (live web search, math calculations, SQL queries), persistent session memory, and FastAPI deployment.
Customer Churn & Risk Prediction App
A complete end-to-end data science and ML pipeline built on real-world tabular data. Features automated exploratory data analysis (EDA), feature engineering, hyperparameter-tuned ensemble models (Random Forest / XGBoost), and an interactive Streamlit Cloud dashboard.
Foundational Mentors
Guided by FAST University graduates committed to practical, fluff-free technology education.
Muhammad Abdullah
Founder & InstructorSpecialist in AI systems and practical technology education. Experienced in translating complex machine learning workflows into intuitive, build-first student curriculums.
Syeda Munazzah Fatima
Founder & InstructorComputer scientist and AI practitioner specializing in computer vision, TinyML, and multimodal models. TA for university Machine Learning and club leadership.
Interactive Mentorship
Direct GuidanceEvery Core Lab session is delivered live with real-time screen sharing, interactive debugging, code breakdowns, and post-session WhatsApp community support.
Need Help Choosing or Registering?
Our admissions team is available directly on WhatsApp to guide you through course selection, system requirements, or manual payment options.