Detailed Course Syllabus:
Duration: 13 Weeks
Course Description:
We'll conclude the course by learning about basic programming concepts using Python, such as lists, dictionaries, classes, functions, and loops, and practice writing clean and readable code with exercises for each topic. We'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. It is a fast-paced, thorough introduction to programming with Python 3.10+ that will have you writing programs, solving problems, and making things that work in no time. In this quarter we will also learn Git, the distributed version control system. We will also review Git-based GitHub services.
Course Outline:
Introduction To Ai
This section would cover the basics of AI, including what it is, how it works, and why it's important.
Introduction to Artificial Intelligence
Machine Learning:
This section would cover the fundamentals of machine learning, including supervised and unsupervised learning, classification, regression, clustering, and deep learning.
Introduction to Machine Learning
Natural Language Processing (NLP):
This section would cover the basics of NLP, including text processing, sentiment analysis, and language modeling.
Computer Vision:
This section would cover the basics of computer vision, including image classification, object detection, and face recognition.modeling.
Reinforcement Learning:
This section would cover the basics of reinforcement learning, including the concepts of agents, states, actions, and rewards.
Ethics in AI:
This section should cover the ethical considerations surrounding AI, including privacy, bias, transparency, and accountability.
AI for Everyone Quiz in Week 3
Total Questions: 60, Total Time: 75 minutes
Building Next-Gen Intelligent Apps with OpenAI's Powerful Models
We will cover GPT-4, ChatGPT, etc. and Next.js 13
https://openai.com/api/
https://towardsdatascience.com/gpt-4-is-coming-soon-heres-what-we-know-about-it-64db058cfd45
Python Crash Course for TypeScript Developers
Python Crash Course, 2nd Edition A Hands-On, Project-Based Introduction to Programming 2nd Edition