Please read the below carefully!
The AdvancedML1 program is designed to equip participants with advanced knowledge in Machine Learning and the latest advancements in Natural Language Programming and Computer Vision. It provides participants with a strong foundational understanding of these models and the opportunity to build their own models from scratch.
AdvancedML1 has 3 Modules:
- Module 1: Delving Deep into Fundamentals: A Comprehensive Module. This module presents a comprehensive and in-depth study of fundamental concepts, with a fast-paced review and exploration of the basics in ML, CV, and NLP.
- Module 2: Advanced Topics in Deep Learning. In this module, we cover advanced topics like Variational Auto Encoders, BERT, GPT, Vision Transformers, Diffusion Models, and metric learning. These topics will be used in Module 3 to build real-world applications.
- Module 3: Cutting-edge Applications with Transformers, CLIP, Diffusion Models, and More. With the completion of module 1 and 2, participants will be well-prepared to develop practical applications in NLP, generative image and human motion generation, recommendation systems, and present their capstone projects.
We attach significant importance to the capstone project, and we provide sufficient compute and GPU resources for each participant to work on it. However, to excel in this project, you will need to invest significant time, effort, and dedication, and we anticipate a commitment of 7-10 hours per week from you.
Although submitting the registration form does not guarantee enrollment in Module 1 of the AdvancedML1 Program, it does place you on our priority enrollment list. Participants are accepted into the course based on their readiness, as it is a challenging AI Masterclass with a comprehensive curriculum that requires full commitment and dedication.
Additionally, there are some important guidelines and policies for the course that should be noted:
- This program is designed to be practical and interactive, featuring in-depth code examples that allow participants to learn from scratch by getting hands-on experience.
- Session lengths may be prolonged up to three hours to ensure a complete understanding of all the topics taught.
- Completion of assignments and quizzes within 7 days is mandatory at the end of each session.
- To proceed to the next phase, a minimum score of 70% on assignments and quizzes is mandatory.
- The course has a fee and provides a full refund within 15 days, no questions asked. You only pay for the next Module if you qualify for it.
The course schedule includes weekly classes on
Saturdays at 9:00 AM.
The tentative start date for the course is May 6th.
Subscribe to learn about future courses and AI Masterclass updates.
Important Dates:Registration Opens: February 11th, 2023
Registration Closes: April 6th, 2023
Interviews begin: March 20th, 2023
Final participant list announced: April 15th, 2023
First Class: May 6th, 2023 at 9:00 AM on Saturday
