Are you ready to dive deep into the world of Machine Learning?
Organized by IEEE Alexandria Student Branch
This intensive bootcamp is designed to take you from the fundamentals of ML to hands-on projects with Deep Learning, Transformers, and LLM Agents. By the end of the program, you’ll not only master the core concepts but also gain the skills to build and deploy real-world applications.
What You’ll Learn
Throughout the bootcamp, you’ll develop a solid understanding of AI, ML, and DL, learning to distinguish between supervised and unsupervised approaches while mastering essential steps such as data preprocessing and feature engineering. You’ll explore classical methods like regression, classification, ensembles, and probabilistic models, as well as unsupervised techniques for clustering and dimensionality reduction. The program also covers the design and optimization of deep learning architectures including CNNs, RNNs, LSTMs, and GRUs, along with a deep dive into Transformers and attention mechanisms. Beyond theory, you’ll gain practical experience by deploying ML models as APIs with FastAPI, experimenting with LangChain and LLM Agents, and completing an end-to-end ML/DL project of your choice.
Prerequisites
- Solid knowledge of Python
- Basics of Linear Algebra & Probability
Don’t just learn theory—build, deploy, and innovate with AI.
Duration: 9 sessions (twice per week)
Start Date: 11th of September
Fees: 270 EGP
Register Now through the form here – Limited seats available!
https://forms.gle/JD5eqE2duwqV1wfC6
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