Curated learning path for AI & Intellectual Property. Build practical skills through expert-selected courses.
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Varies by topic; basics usually sufficient
Some programming experience helpful
Follow these courses in order to complete the learning path. Click on any course to enroll.
The "Machine Learning and Data Science Diploma using Python" is a unique program that enriches Arabic content in the field of artificial intelligence. It's a comprehensive training course centered on interaction, practical application, thorough explanation, and detailed algorithms starting from scratch. The course ensures a robust understanding of algorithms leading to practical implementation, aiding in building strong models applicable to real-life scenarios. It caters to beginners and anyone intrigued by data science, its analysis, and the study of machine learning and artificial intelligence, including Data Analysts, Data Scientists, Machine Learning Engineers, and AI Engineers This diploma not only equips you with the proficiency to learn machine learning and data science through coding but also ensures a solid grasp of the mathematics behind the algorithms. This understanding is essential for fine-tuning algorithmic parameters effectively.Topics covered in this diploma include:Definition of Diploma Linear Algebra for Machine Learning Data Exploration and Preparation Probability and Statistics for Data Science Num Py Library Pandas Library Visualization Libraries (matplotlib, seaborn)Introduction to Machine Learning Concepts Numerical Optimization Regression with Different Methods End-to-End Machine Learning Projects Regularization Kaggle Platform Classification (Binary, Multiclass, different metrics)K-Nearest Neighbors Naive Bayes Logistic Regression Support Vector Machines Decision Trees Ensemble Learning (Voting, Bagging, Boosting)Hyperparameters Tuning Practical Projects What C
Machine learning and Deep Learning have been gaining immense traction lately, but until now Java Script developers have not been able to take advantage of it due to the steep learning curve involved in learning a new language. Here comes a browser based Java Script library, TensorFlow.js to your rescue using which you can train and deploy machine learning models entirely in the browser. If you’re a Java Script developer who wants to enter the field ML and DL using TensorFlow.js, then this course is for you.This course takes a step by step approach to teach you how to use Java Script library, TensorFlow.js for performing machine learning and deep learning on a day-to-day basis. Beginning with an introduction to machine learning, you will learn how to create machine learning models, neural networks, and deep learning models with practical projects. You will then learn how to include a pre-trained model into your own web application to detect human emotions based on pictures and voices. You will also learn how to modify a pre-trained model to train the emotional detector from scratch using your own data.Towards the end of this course, you will be able to implement Machine Learning and Deep Learning for your own projects using Java Script and the TensorFlow.js library.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Arish Ali started his machine learning journey 5 years ago by winning an all-India machine learning competition conducted by IISC and Microsoft. He was a data scientist at Mu Sigma, one of the biggest analytics firms in India. He has worked on some cutting-edge problems involved in multi-touch attribution modeling, market mix modeling, and Deep Neural Networks. He has also been an Adjunct faculty for Predictive Business Analytics at the Bridge School of Management, which along with Northwestern University (SPS) offers a course in
"Mastering Prompt Engineering: ChatGPT Tips & Best Practices" is a comprehensive Udemy course that focuses on the practical applications of prompt engineering. The course is designed to help you learn how to use ChatGPT effectively and optimize its output for your specific needs.The course starts with an introduction to prompt engineering, covering the basics of how it works and why it's important for working with large language models like ChatGPT. You'll then learn about the different types of prompts and prompt patterns, and how to design effective prompts that give you the results you want from ChatGPT.Throughout the course, you'll be presented with practical examples and best practices for prompt engineering. This way you'll learn how to create prompts that automate software development tasks, generate content for your blog, and solve complex problems in different fields.This course is constantly updated to ensure that you are getting the most relevant and up-to-date information on prompt engineering. As new techniques and best practices emerge, the course will be updated with new content to reflect these changes. You'll also have access to a community of learners and instructors, where you can ask questions, share your own work, and get feedback and support.By the end of the course, you'll have a deep understanding of prompt engineering and how to use ChatGPT (or any other Large Language Model) to achieve your goals more effectively and efficiently. Whether you're a software developer, content creator, or researcher, this course will help you unlock the full potential of large language models through prompt engineering.
Interested in using Machine Learning in Java Script applications and websites? Then this course is for you!This is the tutorial you've been looking for to become a modern Java Script machine learning master in 2024. It doesn’t just cover the basics, by the end of the course you will have advanced machine learning knowledge you can use on you resume. From absolute zero knowledge to master - join the TensorFlow.js revolution.This course has been designed by a specialist team of software developers who are passionate about using Java Script with Machine Learning. We will guide you through complex topics in a practical way, and reinforce learning with in-depth labs and quizzes.Throughout the course we use house price data to ask ever more complicated questions; “can you predict the value of this house?”, “can you tell me if this house has a waterfront?”, “can you classify it as having 1, 2 or 3+ bedrooms?”. Each example builds on the one before it, to reinforce learning in easy and steady steps.Machine Learning in TensorFlow.js provides you with all the benefits of TensorFlow, but without the need for Python. This is demonstrated using web based examples, stunning visualisations and custom website components.This course is fun and engaging, with Machine Learning learning outcomes provided in bitesize topics:Part 1 - Introduction to TensorFlow.js Part 2 - Installing and running TensorFlow.js Part 3 - TensorFlow.js Core Concepts Part 4 - Data Preparation with TensorFlow.js Part 5 - Defining a model Part 6 - Training and Testing in TensorFlow.js Part 7 - TensorFlow.js Prediction Part 8 - Binary Classification Part 9 - Multi-class Classification Part 10 - Conclusion & Next Steps As a bonus, for every student, we provide you wit
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Curated learning path for AI & Intellectual Property. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Identify and mitigate bias in AI systems; Apply fairness metrics to evaluate models; Design AI systems with transparency in mind.
It's pitched at beginner level — a solid starting point if you're new to the topic.
4 curated courses, sequenced from foundational to advanced.
Around $610 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.