AI for Beginners

This course is designed to share insight into the application of artificial intelligence tools and techniques to analyse and predict performance across various sports. It uses sport as the vehicle to learn how data and AI can be used to “measure the immeasurable”.

This article explores the concept of holistic data quality management in the context of AI. It emphasizes the importance of a continuous improvement process involving people, processes, and technology to ensure clean, accurate, and reliable data for successful AI initiatives. The article also discusses the role of AI in automating data profiling and quality monitoring.

This course introduces the AI and machine learning offerings on Google Cloud for both predictive and generative AI projects. It explores the technologies, products, and tools available throughout the data-to-AI life cycle, covering AI foundations, development, and solutions. The course is aimed at data scientists, AI developers, and ML engineers, offering engaging learning experiences and practical hands-on exercises.

An instructor-led, live training course for IT professionals on the emerging field of AI TRiSM. The course aims to provide an understanding of the key concepts of AI trust, risk, and security management, how to identify and mitigate risks, and implement security best practices for AI.

Learn 清华大学人工智能导论 (Tsinghua AI Introduction)

Lets learn basics to transform your career. I promise not to exhaust you with huge number of videos.Artificial Intelligence, Machine Learning, Data Science are the most hot skills in the markets which has potential to help you earn highest salary. These skills has potential to turn your financial to better level which can provide you growth and prosperity. Welcome to the most comprehensive Introduction to AI, Machine Learning and Data Science course! An excellent choice for beginners and professionals looking to expand their knowledge on Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised Learning. This is an introductory course for beginners to boost your knowledge. This course gives introduction to to AI, Machine Learning, Data Science, Deep Learning, Supervised and Unsupervised learning with real time examples where machine learning can be applied to solve or simplify real world business problems.What you'll learn Introduction to buzz words like AI, Machine Learning, Data Science and Deep Learning etc.Real time examples where Machine Learning can be used to solve real world business problems Introduction to Supervised Learning and Unsupervised Learning Introduction to Natural Language Processing Why python is popular for Machine Learning Prerequisite: You just need computer or mobile phone with internet connection to access course material.No prerequisites !Happy Learning!

Welcome to "Generative AI Basics for Beginners" - the perfect course for anyone excited to explore the world of Generative AI (GenAI) and its amazing potential. This course is designed to give you a solid understanding of basic concepts, practical uses in different industries, and hands-on practice. It’s ideal for anyone new to AI, professionals looking to learn more, or anyone simply curious about this cutting-edge technology.In this course, you'll learn the essentials of Generative AI, see how it’s used in real life, and get to work on practical projects. We’ve made sure the content is easy to follow, even if you’re starting from scratch.To enhance your learning experience even further, we provide lifetime support for any questions you may have. You can always reach out to us for help, no matter how long it’s been since you started the course. So, join us and see how Generative AI can help you grow your skills and open up new career opportunities.Why Dive into Generative AI?Generative AI is revolutionizing how we create content—from text and images to music—making it a powerful tool across various industries. Understanding this technology will not only enhance your career prospects but also allow you to innovate and solve complex problems with ease.Course Highlights:Beginner-Friendly: Designed specifically for those new to AI and machine learning, with clear and straightforward explanations.Hands-On Experience: Work on your own AI projects and acquire hands-on skills through interactive exercises.Industry-Relevant Knowledge: Discover how Generative AI is transforming areas such as software development and marketing through real-world applications.Expert Guidance: Benefit from the extensive expertise of the instructor in AI and cloud technologies.Ethical and Future-Oriented: Delve into AI's ethical implications and fut

This course is the best for mastering the Data Science and Machine Learning from basics. If you are new to Data Science and Machine Learning, This course will help you to learn everything from Basics. This course is designed as a comprehensive and accessible introduction to two of the most transformative fields in the modern digital era. Tailored specifically for those with little to no prior experience, this course aims to demystify the core concepts of data science and machine learning while building a strong foundation for future exploration. Whether you're a student, professional, or enthusiast looking to transition into the tech industry, this course provides the essential knowledge and practical skills to get started.The course begins with a clear overview of what data science is, covering the data lifecycle—from collection and cleaning to analysis and visualization. You are introduced to key tools used in the industry, including Python programming, Jupyter notebooks, and essential libraries like Pandas, Num Py, and Matplotlib. With a hands-on approach, students engage in real-world data manipulation exercises that emphasize clarity and intuition over complexity.By the end of the course, You will have a solid understanding of how data science and machine learning work together to extract insights and drive innovation. They will be equipped with the confidence and skills to explore more advanced topics or pursue further studies in data analysis, machine learning, or artificial intelligence. This beginner-friendly course lays the groundwork for a successful journey into the exciting world of data science, empowering learners to unlock the value hidden in data and make informed, intelligent decisions.

This course provides a thorough introduction to the intersection of data science and machine learning, balancing theory, numerical methods (coding), and real-world applications. It is designed for students and beginners who want to build a strong foundation in the concepts, statistics, and mathematics that support modern data science and machine learning algorithms.No prior experience is required; this course starts with the fundamentals, making it an excellent choice for beginners ready to embark on their learning journey.The course covers essential topics, including:- The basics of data science- Data visualisation and storytelling- Linear and non-linear regression methods- Explore the world of classification techniques with powerful tools like decision trees, random forests, and neural networks to unlock insights from your data.  - Dive into unsupervised learning, where you can discover hidden patterns and groupings in your data using innovative clustering methods like spectral clustering. By the end of this course, students will be able to:- Apply quantitative modelling and data analysis techniques to solve real-world problems.- Effectively communicate findings through data visualisation.- Demonstrate proficiency in statistical data analysis techniques used in applied engineering.- Utilise data science principles to tackle engineering challenges.- Employ modern programming languages and computational tools to analyse big data.- Understand key concepts and gain in-depth knowledge of classical machine learning algorithms.- Implement classic machine learning algorithms to create intelligent systems.

Today we see AI all around us.From apps on our phone, to voice assistants in our room, we have gadgets powered by AI and Machine Learning.If you’re curious to know how machine learning works, or want to get started with this technology, then this course is for you.This is a beginner level course in AI - Machine Learning and Deep Learning.As students, you will gain immensely by knowing about this transformative technology, its potential and how to make the best use of it. It will open up opportunities in your existing jobs as well as prepare you for new careers.It will go over the basic concepts, introduce the terminology and discuss popular Machine Learning and Deep Learning algorithms using examples.It will be ideal for•Students aspiring to begin a career in AI•IT Professionals and Managers who want to understand the basic concepts•Just about anyone who is curious to learn about AI At the end of this course, you will•Understand the basic concepts and terminologies in Machine Learning•Gain intuition about how various Machine Learning and Deep Learning algorithms work•Learn how to use Machine Learning to solve a business problem•Be able to apply this knowledge to pursue a vendor certification Are there any pre-requisites?Students must have a basic knowledge of undergraduate level mathematics in areas like Linear Algebra, Probability, Statistics and Calculus.  The course will provide a basic refresher on these concepts.How much programming is needed?Although there are labs in the course, they are optional. You can go through the course without doing any programming. However, a basic knowledge of Computer Science and programming would help.The algorithms discussed in the course will be shown using pseudo code.We have an optional mo

In this intensive one-hour course, you’ll dive headfirst into the world of machine learning using TensorFlow and Google Colab. No pit stops—just pure acceleration!What You’ll Cover:TensorFlow Basics: Understand the core concepts, from defining layers to training models.Google Colab Mastery: Leverage Colab’s cloud-based environment for seamless development.Data Prep Express: Quickly preprocess your data without detours.Model Construction: Design and build neural networks like a seasoned pro.Training and Evaluation: Witness your model learn, iterate, and fine-tune for optimal performance.Why Take This Course?Speedy Results: Get up to speed in just one hour.Practical Skills: Apply what you learn to real-world problems.No Pit Stops: We’re all about efficiency here!Prerequisites:Basic Python knowledge (if you can write a for loop, you’re set!)Curiosity and a dash of determination Ready to accelerate your ML journey? Buckle up!Whether you’re a data enthusiast, a developer, or a curious learner, this course is your express ticket to mastering machine learning essentials. Let’s hit the road! Your course instructor is me Adam Cole, a professional software engineer with 5 years working on enterprise level applications. Feel free to send me any questions on Linked In at Adam Cole Adam Cole BSc MBCS.