7 FREE AI Courses To Become an AI Developer in 2023 ?| Ishan Sharma

Introduction

With an average salary of ₹21 lakhs per annum, AI development is one of the hottest fields out there. If you want to ride this wave and become an AI developer, here are the seven best free courses you can take online, covering topics from basics to advanced. Hit the like button if you find this interesting and let’s dive in!

1. Mathematics Fundamentals

Before delving into AI, machine learning, or data science, it is crucial to understand the underlying mathematics. Don't worry; you won't need to solve complex problems manually as computers handle that. Focus on linear algebra, matrices and determinants, matrix multiplication, eigenvalues and eigenvectors, different types of probabilities, and data visualization using statistics. A great YouTube playlist by John covers everything you need to know about linear algebra, probabilities, and statistics.

2. Learning a Programming Language

For any machine learning or AI model, you need to communicate with the computer using a programming language. Python is the most widely used language for creating ML models due to its user-friendly nature. You can start with a comprehensive 4-hour Python tutorial provided by Free Code Camp on YouTube. The tutorial covers basic data types, conditionals, loops, functions, objects, classes, and practical problem-solving using Python.

3. Python Libraries: NumPy, Pandas, and Matplotlib

Once you have a basic understanding of Python, the next step is to learn about essential libraries: NumPy, Pandas, and Matplotlib.

• NumPy helps in organizing random data into arrays and matrices.
• Pandas is used for querying data from your database.
• Matplotlib is for data visualization.

Akash from Free Code Camp has an excellent video that covers all three libraries from the basics.

4. Machine Learning Basics

Step into the world of Machine Learning with an amazing video by Tech with Tim. You will learn about supervised learning, unsupervised learning, reinforcement learning, linear regression, classification, K-nearest neighbors, support vector machines, clustering, and creating an agent in an environment. This comprehensive guide will offer practical experience by teaching you to build projects like the Flappy Bird game.

5. TensorFlow Framework

Next, learn about the TensorFlow framework to create machine learning and AI models. Google offers a course that covers the basics like training sets, test sets, validation sets, optimizing weights and biases, and building various models. TensorFlow simplifies creating deep neural networks with just a few lines of code, allowing you to work on complex AI models more efficiently.

6. Natural Language Processing (NLP)

To understand how machine learning models parse and predict text, consider taking Stanford's cs224n course available on YouTube. The course covers Transformers, BERT, large language models, and offers an in-depth understanding of tools like ChatGPT and Bard. The course is taught by experienced professors from Stanford.

7. Generative AI and ChatGPT

Deep learning.ai’s short courses on ChatGPT prompt engineering for developers, offered by Andrew NG, are perfect for learning how to use ChatGPT for prompt engineering and API development. Additionally, Google's extensive learning path with 10 courses teaches you about generative AI, large language models, BERT, Transformers, image generation, diffusion models, and more. By the end, you'll be equipped to become a job-ready AI developer.

Keywords

• AI Development
• Machine Learning
• Python
• Data Science
• TensorFlow
• Natural Language Processing (NLP)
• Generative AI
• ChatGPT
• NumPy
• Pandas
• Matplotlib

FAQs

1. What is the average salary for an AI developer?

The average salary for an AI developer is around ₹21 lakhs per annum.

2. Do I need to be good at math to learn AI?

Understanding basic concepts in linear algebra, probabilities, and statistics is essential, but you don't need advanced math skills as computers handle complex calculations.

3. What programming language should I learn for AI?

Python is the most widely used and user-friendly language for creating machine learning models.

4. Why are NumPy, Pandas, and Matplotlib important for AI development?

These libraries are essential for data organization, data querying, and data visualization, which are crucial steps in AI and machine learning.

5. What is TensorFlow?

TensorFlow is a framework by Google that simplifies the creation of machine learning models, especially deep neural networks.

6. Where can I learn about Natural Language Processing (NLP)?

Stanford's cs224n course available on YouTube is an excellent resource for learning about NLP.

7. How can I start learning about Generative AI?

Google offers a comprehensive learning path with 10 courses that cover all aspects of generative AI, including large language models and image generation.