Become an Expert in Artificial Intelligence/AI in just 6 Months
In this Roadmap I am assuming that you guys already have basic mathematics, statistics, and linear algebra knowledge, so that is why we are starting from a programming language. But If you are really at that level of beginner where you want to adopt some basic mathematics skills then surely you can watch these videos which are mentioned below to refresh or learn mathematics for AI.
Click here for the Mathematics Course In English
Click here for the Mathematics Course if you are Indian/Pakistani
Month 1-2: Foundations
Programming Fundamentals: It is considered as a base for any IT field. We learn this course to get a better understanding of Programming concepts. Many programming languages contain the same concepts but different Syntax, In Artificial Intelligence, The legends recommend Python for AI because it has everything that it takes to become proficient in AI, so learn the basics of Python Programming Language (Strings, Loops, Functions, Conditional Statements, and Etcetera). Spend at least 4 hours learning Python concepts and implementing them making different programs and solving different errors without using CHAT GPT or Gemini. It will make your concepts very clear and make you a good programmer too which quite help you a lot throughout your career. After Python, you will focus on Numpy and Pandas as they are the core of Data Manipulation. Click on the below-mentioned links to start Python right now.
Click here for the Python Course in Hindi/Urdu
Click here for the Python Course in English
Click here for Numpy in English
Click here for Numpy in Hindi/Urdu
Projects Regarding Python:
Note: Start doing the projects until you think you have more than a beginner level of skills in Python.
Month 3-4: Machine Learning Fundamentals
Machine Learning (ML) concepts and Algorithms: Understand the core concepts of supervised learning (classification, regression), unsupervised learning, and reinforcement learning.
Click here for the Machine Learning Course in Hindi/Urdu
Click here for the Machine Learning Course in English
Projects Regarding Machine Learning:
Click Here for the Machine Learning Projects
Month 5-6: Deep Learning and Specialization
Deep Learning (DL) basics and Neural Networks: Understand the concept of artificial neural networks and their components (neurons, layers, activation functions).
Click here for the Deep Learning Course in Hindi/Urdu
Click here for the Deep Learning Course in English
Projects Regarding Deep Learning:
Click here for the Deep Learning Projects
Note: You can use the mentioned projects in your portfolio, and if you want to explore and work on identifying your data, you can click on the link below to access datasets and polish your skills regularly. This 6 Month AI course is just for beginners to become and Expert; AI is not a small field; it requires a lot of time investment. After deep learning, you should move on to Natural Language Processing, then learn Computer Vision, following the same strategy.
Remember, patience and hard work are always key to success. You have to be patient in terms of achieving your goals. Additionally, learn how to maintain a GitHub repository. After that, learn how to implement tools related to PowerBI and AI in your work, for example, AWS and Microsoft Azure. This is just a starting point, and there are many other resources and learning paths available. Customize this plan to suit your learning style, interests, and available time. Remember, becoming an AI pro is a continuous journey, and this 6-month roadmap is just the first step in an exciting exploration of the world of artificial intelligence.
Click here for the Datasets Link
FAQ’s
Why Mathematics is Important for Artificial Intelligence?
Whatever has been done so far in Artificial Intelligence regarding Machine Learning Models, Deep Learning, NLP, Robotics, and many more subfields of AI are based on Calculus, Differential Equations, Linear Algebra, and Statistics.
