Unleash Your Inner AI Innovator:
Build the Future with Our Hands-On AI Workshop Series!
Are you a Computer Science student eager to dive into the world of Artificial Intelligence? Stop just learning about AI and start building it! Our comprehensive, hands-on workshop series will equip you with the practical skills to develop and train your own AI models, from foundational machine learning concepts to cutting-edge Large Language Models (LLMs).
Why This Workshop is Perfect for CS Students:
- Practical, Hands-On Experience: Our labs are designed to reinforce concepts and build your portfolio. Go beyond learning the theory and dive into real-world AI projects.
- Industry-Relevant Skills: Learn the technologies and techniques used by leading AI companies, including Python, TensorFlow, PyTorch, and the latest advancements in LLMs and GPTs.
- Deep Dive into Core Concepts: We'll cover the essential mathematical foundations and algorithms behind machine learning and deep learning, giving you a strong theoretical understanding.
- Boost Your Career Prospects: AI is the future. Gain a competitive edge in the job market by developing in-demand AI skills.
- Network with Fellow CS Students: Collaborate with peers, share ideas, and build connections with other aspiring AI developers.
What You'll Learn:
Part 1: Foundations of Machine Learning & Deep Learning (4 Weeks)
- Master Python for AI: From basic syntax to advanced libraries, we'll get you up to speed with the essential programming language for AI development.
- Build Neural Networks from Scratch: Understand the inner workings of neural networks and learn to build your own RNNs and CNNs for tasks like music generation and image recognition.
- Explore Deep Learning Frameworks: Gain experience with TensorFlow and PyTorch, the industry-standard tools for building and training deep learning models.
- Hands-on Labs: Reinforce your learning with practical projects, including Python tutorials, RNN-based music generation, and CNN-based image classification. (See labs on GitHub: https://github.com/InspiredK-organization)
Part 2: Large Language Models (LLMs) & GPTs (Coming Soon!)
- Dive into LLMs: Explore the architecture and capabilities of Large Language Models and learn how to fine-tune them for specific tasks.
- Unravel the Magic of GPTs: Understand the inner workings of Generative Pre-trained Transformers and discover their applications in natural language processing.
- Build Your Own nanoGPT: Get a unique, hands-on experience building a simplified version of a GPT model.
- Advanced Labs: Tackle challenging projects involving LLM fine-tuning and building your own generative models.
Workshop Schedule (Part 1):
- Week 1 (Fri, Feb 28, 5:30pm-8:30pm): Intro to ML & AI Python
- Week 2 (Sat, Mar 8, 9:00am-12:00pm): Intro to Deep Learning & RNNs
- Week 3 (Mon, Mar 24, 5:30pm-8:30pm): Intro to CNNs
- Week 4 (Mon, Mar 31, 5:30pm-8:30pm): Lab 2 Computer Vision Walkthrough
(Part 2 schedule will be announced soon!)
Limited Spots Available – Register Now!
Don't miss this opportunity to gain valuable AI skills and shape the future of technology!
Contact: Dr. Ravi Brahmbhatt, Director of Student Innovation and Entrepreneurship at Houston Community College
Schedule
Workshop Schedule (Part 1):
- Week 1 (Fri, Feb 28, 5:30 pm - 8:30 pm): Intro to ML & AI Python
- Week 2 (Sat, Mar 8, 9:00 am - 12:00 pm): Intro to Deep Learning & RNNs
- Week 3 (Mon, Mar 24, 5:30 pm - 8:30 pm): Intro to CNNs
- Week 4 (Mon, Mar 31, 5:30 pm - 8:30 pm): Lab 2 Computer Vision Walkthrough
All Timings in Central Standard Time (CST).
Location: Apple Innovation Lab at HCC West Loop Campus, 5601 W Loop S, Houston, TX 77081
(Note: For TiE U Students, a Virtual Zoom link will be provided)
(Part 2: Schedule will be announced soon!)
Limited Spots Available – Register Now!
Speakers
