The world of AI training resources is vast and caters to diverse learning styles and levels of expertise. Whether you're a complete beginner or a seasoned developer, there are options to fit your needs. Online platforms like Coursera and edX offer structured courses from leading universities and companies, while platforms like Kaggle and Google Colab provide hands-on practice with real-world datasets and tools. Additionally, numerous websites and blogs offer tutorials, articles, and code examples to help you learn specific AI concepts or frameworks. For those seeking a more immersive experience, bootcamps and in-person workshops offer intensive learning opportunities under the guidance of experienced instructors. Remember, consistent practice and experimentation are key to mastering AI, so don't hesitate to leverage the wealth of resources available.
The resources below are free for users.
Introduction to AI
If you're curious about AI but unsure where to begin, introductory courses can be a fantastic launching pad. These courses are designed for individuals with little to no prior knowledge of AI and provide a foundational understanding of key concepts. They typically cover topics like the history and different types of AI, machine learning fundamentals, applications of AI in various fields, and the ethical considerations surrounding this technology.
Explore the world of Artificial Intelligence (AI) with Microsoft's 12-week, 24-lesson curriculum! Dive into Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, and more. Hands-on lessons, quizzes, and labs enhance your learning. Perfect for beginners, this comprehensive guide, designed by experts, covers TensorFlow, PyTorch, and ethical AI principles. Start your AI journey today!"
In this curriculum, you will learn:
- Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning ().
- Neural Networks and Deep Learning, which are at the core of modern AI. We will illustrate the concepts behind these important topics using code in two of the most popular frameworks - and .
- Neural Architectures for working with images and text. We will cover recent models but may lack a little bit on the state-of-the-art.
- Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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Effective AI Prompts
Unlock the power of AI with effective prompts. AI Prompt Engineering courses are popping up everywhere, from free, beginner-friendly options to in-depth certifications. Learn how to craft prompts that get the AI to generate exactly what you want, whether you're a writer, content creator, or just curious about this exciting tech.
Generative AI: Prompt Engineering Basics
This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT.
Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses.
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Chat GPT for Everyone
Learn about ChatGPT, one of the most advanced AI systems available today, and dive into the world of Generative AI. Learn how to use ChatGPT, create an account, and write your first basic prompt. Read use cases and learn how to use ChatGPT as your personal assistant to maximize your productivity.
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