10 Best Ai courses for Software engineers in 2025

mayank5302@outlook.com

November 22, 2024

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There are people making over 100K US Dollar per year as a AI engineer in United states and if you want to get started in 2025 here are the best 10 courses that you can enroll for completely free and become a AI engineer.

I’ve divided these 10 into three different categories 1. The beginner 2. The intermediate and 3. The advanced courses .

Best Ai courses for software Engineers

Why Software Engineers Should Learn AI

Before we dive into the courses, it’s important to understand why AI is so critical for software engineers:

Industry Demand: AI is a key technology across sectors like healthcare, finance, automotive, and entertainment. Companies are actively seeking AI-literate software engineers to help them leverage AI for smarter applications.
Advancements in Tools & Libraries: As AI evolves, new frameworks and libraries like TensorFlow, PyTorch, and Keras make it easier to integrate machine learning (ML) into applications. Software engineers equipped with AI knowledge can build smarter, more efficient systems.
Improved Problem-Solving Skills: Learning AI enhances your problem-solving skills and prepares you for building intelligent applications that can make decisions based on data.
High Salary Potential: The demand for AI skills is reflected in the compensation. Software engineers with expertise in AI typically earn higher salaries compared to their peers working in traditional software development roles.

Pre requisites

let’s talk about the prerequisite ,yes you you do need some prerequisite.

The first thing is Math.
The second thing is a language to code (Python)
lastly is understand about data analysis .

1. Math

First thing is mathematics no I’m not talking about solving really long questions that can be handled by the computer. what you need to focus on is understanding the basics of matrix multiplication linear algebra. you need to learn about the basics of calculus how does integration happen what is the differentiation and how do you calculate the area under the curve.

Basics right you don’t have to solve it yourself but you have to understand what these things really mean because it will be important when you start building models of your own there is an amazing playlist on YouTube which is Catered towards machine learning.

All the Maths you need to learn about machine learning is in that one video so go have a look at that and that will give you the basic Head Start into the world of mathematics for machine learning that is the first.

2. Python

Secondly, you have to master Python . Now there are other languages as well that you can use like JavaScript or or others but python is is the most popular language that people use for creating machine learning models and if you want to learn about python there is an amazing playlist on Tech with Tim’s YouTube channel.

Which I personally use to learn about Python and that will give you a very basic understanding of how to use basic data types what are conditionals, what are you know functions and for loops and how do you create basic objects and how do you create classes.

So that is a great starting point for you all again completely free you can also have a look at python for everybody, it’s a course available oncourse era if you are interested that will also give you a good start but now you know a language and now you have a basic idea of mathematics.

3. Data analysis

The next step is learning about data analysis. So what is machine learning it’s all about taking in data and predicting data in the future so for that you need to learn how do you use data particularly there are three packages or libraries in Python that you have to manage and learn about.

1.) The first one is NP 2.) Then you have Mt plot lib and 3.) you also have pandas & Numpy will help you take data and organize it into arrays and list the second thing is pandas which will basically help you to organize that data into tables and then query that data.

So that is the third thing 4.) the fourth thing at the end is matte plot lib and that is how you’ll be able to visualize your results so it could be a line chart, it could be a bar chart, it could be a pie chart anything that you want to represent.

You can do it very simply with with the help of Matt plot lib so these three libraries are really important for you to understand before we even talk about the AI courses so have a look at these three libraries .

There’s a YouTube video on free Cod Cam’s Channel which is talking about num ai Matt plot lip and pandas. once you’ve learned all these three topics you can now very easily start learning about Ai and let’s start with the first course.

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Best Ai courses for software engineers

1. Ai courses for beginners

AI Course 1- Generative AI for everyone

The first Ai course and this is to understand the basics of chat GPT and generative AI.

What You’ll Learn:

Fundamental AI concepts
AI applications across industries
How to use AI effectively in business

Now in the beginner category the first course to check out is generative AI for everyone. This course on Coursera will give you the basic idea of what generative AI is , how are large language models working and what can you actually do by applying generative AI in your own life.

So you’ll also learn about the basics of building generative AI projects and what are the steps involved in every single one of them and the course ends with talking about how businesses and the society can get value from generative AI.

It also talks about the various problems of AI and what it cannot really do and this isa great starting point for you the next.

AI Course 2 career Essentials for generative AI

This Ai course is from Microsoft available on LinkedIn and this one is career Essentials for generative AI now this course is amazing because it talks about how can you use generative AI tools like365 co-pilot and apply it on to your daily tasks .

So for example if you’re making a spreadsheet if you are making a simple dock if you are doing the normal things you will do in your corporate work, how can you optimize it, how can you save time, how can you use generative AI in your workflow ,Is what they talk about in that complete course.

It’s very simple to the point I think it’s about 2 to three hour long course and this will give you the basic idea for how do you apply things right it’s one thing to see how it works it’s another to see how can you apply it into your own workflow.

It’s a great course if you’re already working somewhere and you want to see how can you cut your time in doing whatever task that you have to do throughout the day so go have a look at this course by Microsoft on generative AI on LinkedIn .

AI Course 3- GPT prompt engineering.

This one is taught by Andrew NG and it is available on deep learning AI website this one is called chat GPT prompt engineering.

Now this is a very short course which talks about how can you write prompts it shares a lot of tips and tricks that you can employee to write better prompts and get better answers.

You have to understand that everyone has access to chat GPT what differentiates you from everyone else is the prompts you are typing and that is why you need to take this course. It talks about if you’re trying to find an answer to a question if you are looking for some advice, if you’re looking for some feedback, if you’re looking for anything from chat GPT.

What is the right way to ask chat GPT or any other large language model so go have a look at this course it’s available on deep learning AI .

2. AI courses for Intermediate

AI Course 4- Machine learning by Stanford

What You’ll Learn:

Neural networks and deep learning fundamentals
Convolutional neural networks (CNNs)
Sequence models for time series data
TensorFlow and Keras for deep learning

Dig deeper into the world of generative Ai and LLMs large language models and the first course that I have in the intermediate list is this one from Andrew NG available on Corsera called as machine learning by Stanford.

Now this course has an in-depth guide on how can you build these models from scratch so it basically gives you an idea of what it takes to build a AI model from scratch so you will learn everything from supervised machine learning, unsupervised machine learning, reinforcement learning.

You’ll have a look at both regression problems and classification problems and you’ll have a better understanding for what goes on inside of each of these models so do take a look at this course it’s available on Corsa you have to audit the course there will be a option to audit it.

When you will click on get this for free or enroll in this course and that is a great way for you to get access to this one again it’s a very important course it’s also the most popular course out there in the field of machine learning, so you have to take a look at this.

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AI Course 5- cs50

Best for: Engineers who prefer a structured, academic approach

What You’ll Learn:

Search algorithms (e.g., A*, minimax, and Monte Carlo)
Knowledge representation and reasoning
Machine learning and neural networks in Python
Natural language processing (NLP) and AI ethics

Howard has this course called as cs50 available publicly to anyone around the world it is an amazing way for you to get a basic understanding of of AI.

The course is particularly called cs50 Ai and this course goes into depths of the concepts that you need to understand ,like neural networks, like multi-layer perceptron, like back propagation, so you’ll have a basic understanding of how do you create an algorithm and how does a model learn to detect patterns in machine learning and that will give you a deeper understanding of how everything works.

They explain it in very simple terms and you will be able to understand everything it is about 12 hours long and it takes you from the very basic of learning and uncertainty all the way up to giving you an idea of how neural networks operate.

AI Course 6- Introduction to Generative AI Learning Path

Google’s nine-course learning path focused on introducing users to Generative AI is called “Introduction to Generative AI Learning Path” and is typically accessible through Google Cloud Skills Boost platform.

Key points about this learning path:

Target Audience:Designed for individuals with little to no technical background, including those in non-technical roles like sales, marketing, and operations.
Course Content:Covers the fundamental concepts of generative AI, including what it is, how it works, different types of generative models, and how to utilize Google’s tools to create generative AI applications.
Course Structure: Consists of nine individual courses, each focusing on a specific aspect of generative AI, like introduction to large language models, attention mechanisms, transformer models, image generation, and more.

3. Advance Ai courses for software engineers

AI Course 7- Building Systems with Chat GPT API

The first one is is again available on deep learning AI site and this one is called Building Systems with Chat GPT API. Now the easiest thing you can do right now is to take the open ai’s API for CHAT GPT and plug it into your own app .

So instead of you having a preferred you know backend and and database and everything you can simply have a API endpoint attach it with the API and you can get responses on your front end itself generated from the query you sent to the chat GPT API place.

So this is a very simple method it will teach you exactly how can you build a simple app which relies on the chat GPT API, so with this you’ll understand the basics of that API and how can you build apps with it and the cherry on the cake the instructor is actually from open AI.

So they will be sharing the best practices that you can use to use the CHAT GPT API that is the first course you can use.

AI Course 8-

Site itself is using Lang chain to build LLM applications right now this course is how you will learn to build real world large language model apps . So what is Lang chain Lang chain basically enables you to build generative applications very easily so you will be learning about how to use it to build generative AI applications fast .

You will basically be able to train LLMs on your own personal data and create particular chat Bots which can only answer queries based on the data that they’ve been fed . so that is a great way for you to get started with building Genera apps now.

AI Course 9

The Third course you need to check out is building AI apps with the help of Gradio what is Gradio if you have learned python yourself then this course will make a lot of sense because Gradio works on python repositories.

So basically what you do with Gradio is you would be able to deploy and run any ML model that you’ve created, so you’ll be able to generate a very simple generative AI you know app in a few minutes with just a few lines of text and code.

So this is again a great way for you to get started with building generative AIs from scratch with the help of Gradio .

AI Course 10- Hugging face

Check out which is on NLP natural language processing is by Hugging face now. On hugging face you can understand how do these large language models actually work and with that you will have a deeper understanding of how can you use these models to build new apps yourself right.

Conclusion

AI is the future, and software engineers who master it will be at the forefront of technological innovation. Whether you’re just starting out or looking to deepen your knowledge, the courses mentioned above provide a great mix of theory and practical skills. From machine learning and deep learning to reinforcement learning and NLP, there’s a course for every software engineer looking to upskill and prepare for the AI-driven future.

Remember, the key to mastering AI is consistency and practice. Choose a course that fits your current skill level and career goals, and immerse yourself in the world of AI. Your future self will thank you for it.

Here are some common questions people often ask when looking for the best AI courses for software engineers:

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