Hey guys! I’m stoked to share my study plan for mastering Artificial Intelligence (AI). I’ve been obsessed with AI for a while now and have finally discovered the ultimate way to learn everything there is to know about it. I ain’t no expert, but I’ve put in countless hours of research and experimentation to create this kick-ass study plan. I reckon it’s a perfect starting point for anyone looking to dive into AI, from the basics to the most advanced stuff. So whether you’re a total newbie or a seasoned AI pro, this study plan is the bomb 💥!
To develop my study plan, 🤔 I did a deep dive into all the available online resources and carefully selected the 🥇 best courses on the Udemy platform, as well as tutorials and documentation on tools and languages to use in practice. Additionally, I found a plethora of free resources on the web, such as articles and videos, which I used to supplement my learning. 💪 I’m confident that this approach will allow me to acquire the necessary skills to master artificial intelligence. 🚀
I’ve got my study plan all laid out for you, including all the necessary resources. Check it out below!
Python
Python is my jam! 🐍 It’s the bee’s knees in the world of AI. What really rocks about it is its clear and readable syntax that makes it super easy to grasp, even for newbies. Plus, it comes packed with tons of useful libraries and tools to program all sorts of things, from web apps to data science and machine learning.
I’ve got my sights set on the Complete Python Developer in 2023: Zero to Mastery course available on Udemy.com. But, let’s be real, just a course won’t cut it. I’ll also be keeping the documentation handy.
I can hardly wait to dive into learning Python! With this course, I’ll be able to master the basics, learn coding best practices, set up a professional workspace with Jupyter Notebooks, and learn how to test, debug, and handle errors. And that’s just the tip of the iceberg! I’ll also be able to use Python for web development, process automation with Selenium, building Twitter bots, and sending emails and text messages. Not to mention, I’ll be able to create web scrapers with BeautifulSoup and handle different file types like images, CSV, PDF, and more. And that’s not all! I’ll also get to explore the world of Data Science and Machine Learning where I’ll build models and analyze and visualize data.
This course packs in over 30 hours of content, making it super comprehensive and detailed in each of the topics it covers.🤖👨💻🚀
Mathematics
My math skills are pretty basic, and I feel like I need to up my game if I want to dive into the world of AI. Lucky for me, I found some fantastic courses on Udemy that will help me level up! Here are the courses I’ll be taking, in this order:
📚 Become a Calculus 1 Master: This course will teach me the basics of calculus, including functions, derivatives, and integrals.
📚 Become a Linear Algebra Master: In this course, I’ll learn about vectors, matrices, and systems of linear equations. This knowledge is super important for understanding many of the concepts used in machine learning and deep learning.
📚 Become a Calculus 2 Master: This course will go deeper into calculus concepts, such as integration by parts, infinite series, and differential equations.
📚 Become a Probability & Statistics Master: In this course, I’ll get familiar with concepts like probability, the normal distribution, and statistical inference. This knowledge is crucial for understanding many machine learning and deep learning algorithms.
📚 Become a Calculus 3 Master: This course will focus on calculus concepts in multiple variables, including gradients, optimization, and curves in three-dimensional space. These are advanced concepts that are essential to understanding more complex machine learning and deep learning models.
My plan is to study an hour a day, plus an hour of practice, which should take me about 96 days or 3 months and 6 days to complete all the courses. Of course, this is just an estimate, and it could take longer or shorter depending on how well I understand the material. But I’m excited to dive in and learn! 💪
Data Science, Machine Learning, and Deep Learning
It’s been a long road to get to this stage, where I’ll be able to dive deep into the foundations of artificial intelligence, but I’m finally ready to take these fantastic courses:
📚 Complete Machine Learning & Data Science Bootcamp 2023:
I’ll learn a ton in this course, such as Transfer Learning, Classification and Regression, Data Engineering, Scikit-learn library, NumPy, Pandas, Matplotlib, Seaborn, Time-series data, Supervised and Unsupervised Learning, and so much more! It’s a comprehensive course where I’ll learn how to set up my development environment, build a portfolio of work, clean and preprocess data, improve my Machine Learning models, and present Data Science projects to managers and stakeholders. I’ll even learn about Deep Learning, Transfer Learning, and Neural Networks using TensorFlow 2.0.
🎓 TensorFlow Developer Certificate in 2023: Zero to Mastery:
This course is amazing! I’ll gain valuable skills in Data Science and Machine Learning using TensorFlow, Scikit-learn, and other modern tools. I’ll even build my own portfolio of work and obtain the official Google certification for TensorFlow developers.
🔥 PyTorch for Deep Learning in 2023: Zero to Mastery:
In this PyTorch course, I’ll learn to build and deploy my own custom neural network accessible to the public. I’ll even be able to create and use machine learning algorithms like a Python program. I’ll understand how to integrate deep learning into tools and applications and improve my applications using AI.
Here’s a table summarizing the courses I plan to study and the amount of content each course has. 😎⏳
To be honest, I don’t have a lot of free time every day 😩 (I work, take my son to school, take my wife to work, have a 6-month-old baby, etc.), so I estimate that I can study for at least one hour per day and practice for another hour. In real life, I haven’t been able to commit to that schedule daily due to fatigue, but it’s something I’m working on improving.
Remember, this is just a plan, and I can always adjust it to meet my specific goals. Plus, I’ll always stay up to date with the latest documentation to make the most of what I’m learning. Feel free to follow along and adapt it to your learning style! 💪
Thanks for taking the time to read my blog post! I’m so excited to share my journey with you and I hope that you found it informative and enjoyable. This is just the beginning of my journey and I can’t wait to complete more steps and share my progress with you. Stay tuned for more updates, and as always, feel free to reach out and share your own experiences and insights. See you soon! 👋😃