Artificial Intelligence Lectures
Objective of Artificial Intelligence Course Level 1
Philosophy of Artificial Intelligence & Foundational Knowledge
- A deep understanding of the philosophy of AI, including but not limited to the works of Alan Turing, Geoffrey Hinton, Yann LeCun, Demis Hassabis, and other leading AI scientists and philosophers
- A deep understanding of how Large Language Models work and how to leverage them to create software that solves real-world problems
Artificial Intelligence Application Development & Business Integration
- How to develop cross-domain, full-scale AI applications that solve real business needs
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How to take real-life scenarios and understand how AI can be used to generate dollar value
Capstone Project & Certification
- AI Level 1 students will take the Capstone project in Semester 3
- As part of the Capstone project, students will build an end-to-end AI application to meet a real-world need and publish their application for general use
- At the end of the Capstone project, students will receive a Certificate in Applied Artificial Intelligence and Machine Learning
Career Preparation & Professional Growth
- After the Capstone, students will be provided guidance on resume building, profile building, and job applications
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Students will be able to tackle real-world problems and work with professional teams to develop advanced AI applications
Objective of Artificial Intelligence Course Level 2
Advanced Model Development & Research
- Ability to develop Large Language and Large Vision models from scratch using open-source data sources.
- Perform original research in the field of AI and develop new learning algorithms or improve upon existing strategies
Complex Problem-Solving & Enterprise AI
- Tackle complicated real-world scenarios that require original thought and innovation
- Manage enterprise-level AI applications at scale using MLOps and LLMOps
Ethical AI & Responsible Development
- Learn about the ethical considerations for AI applications, including data security, data privacy, and other factors
Course Timing and Details
- One class per week
- 60 minutes per class
- Each class will include a practical session (30 minutes), where students will build applications in every single class
- It is highly recommended to attend the class on a laptop or tablet and have a browser installed such as Google Chrome, Brave, Edge etc
- Each class will also include 30 minutes of lecture on theoretical concepts of AI.
FAQs of AI course
What is the minimum age requirement for AI Level 1?
Students below age 12 should enroll in AI Level 1.
Who should enroll in AI Level 2?
Students above age 12 should enroll in AI Level 2.
How long is AI Level 1?
AI Level 1 consists of 3 semesters, each lasting 6 months.
Will Level 1 and Level 2 students study together?
Yes, in the first 3 semesters, both Level 1 and Level 2 students attend the same classes since the coursework is identical.
Can Level 1 students continue to advanced semesters?
Yes, after completing 3 semesters, Level 1 students may choose to continue with Semester 4 if they wish.
When do AI Level 3 students complete their Capstone project?
AI Level 3 students undertake their Capstone project in Semester 4, which has more advanced technical requirements.
Can students choose their own Capstone project?
Yes, students can propose their own ideas, otherwise, a project will be assigned to them.
Will Capstone projects be team-based?
Yes, we encourage 2-3 person teams for Capstone projects.
Is there support for turning Capstone projects into real startups?
Yes, complete guidance will be provided to help students take their solutions to market and potentially create AI startups.
What certification do AI Level 2 students receive?
AI Level 2 students receive an Advanced Certificate in Applied Artificial Intelligence and Machine Learning after completing 4 semesters.
