AI (Artificial Intelligence) is one of the fastest-growing fields. If you love the technology industry, AI might be a great career field for you. The best way to learn AI is via online courses. There are many artificial intelligence courses that will introduce you to and teach you about AI technologies.
Take one of these top 5 AI courses and you will learn to work with, or even build, your artificial intelligence framework. If you are new to taking FREE online courses, How To Take Free Online Courses And Certifications From Top Universities will guide you through the process and help you get the most out of the class.
The Impact Of AI
AI is transforming our work and our play. It is one of the fastest-growing fields. AI is enabling new technologies and it is improving existing technologies. As a result, the demand for expertise in AI and machine learning is growing rapidly.
The below courses will give you the skills you need to take the first steps toward solving important real-world problems and future-proofing your career. You will learn about the fundamentals of AI, including machine learning, natural language processing, and computer vision. You will also learn how to apply AI to real-world problems, such as fraud detection, healthcare, and customer service.
Benefits Of Learning AI
There are many benefits to learning AI. Since AI is a rapidly growing field there is a high demand for AI skills. Learning AI can help you get a job in a variety of industries, including healthcare, finance, and manufacturing. AI can also help you improve your problem-solving skills and your ability to think creatively.
Types Of AI Courses
There are many different types of AI courses available, from introductory courses to advanced courses. Some courses focus on specific areas of AI, such as machine learning or natural language processing. Other courses take a more general approach to AI.
What To Look For In An AI Course
When choosing an AI course, there are a few things to keep in mind. First, consider your level of experience with AI. If you are new to AI, you will want to find an introductory course. If you have some experience with AI, you can choose a more advanced course. Second, consider the format of the course. Do you want to take an online course or an in-person course? Third, consider the instructor. Make sure the instructor is qualified to teach AI.
1. AI For Everyone
“AI For Everyone”, is a non-technical course, that will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change.
If you are a non-technical business professional, “AI for Everyone” will help you understand how to build a sustainable AI strategy. If you are a machine learning engineer or data scientist, this is the course to ask your manager, VP, or CEO to take if you want them to understand what you can (and cannot!) do.
2. ChatGPT Prompt Engineering for Developers
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to build new and powerful applications quickly. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now.
This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including:
- Summarizing (e.g., summarizing user reviews for brevity)
- Inferring (e.g., sentiment classification, topic extraction)
- Transforming text (e.g., translation, spelling & grammar correction)
- Expanding (e.g., automatically writing emails)
In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and how to build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter Notebook environment to get hands-on experience with prompt engineering.
What College Degree Makes The Most Millionaires And Billionaires, you guessed it, engineering. Pair that top degree with AI and you are on your way to a phenomenal career!
3. Google Generative AI Courses
Google Generative AI Courses: Google, the popular search engine and AI giant is now offering a free course for Generative AI. They offer 10 separate courses via a “learning path”. This learning path guides you through a curated collection of content on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.
4. Stanford CS224N
Stanford CS224N: Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks. In this course, students gain a thorough introduction to cutting-edge neural networks for NLP.
Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age. Applications of NLP are everywhere because people communicate almost everything in language: web searches, advertising, emails, customer service, language translation, virtual agents, medical reports, politics, etc. In the last decade, deep learning (or neural network) approaches have obtained very high performance across many different NLP tasks, using single end-to-end neural models that do not require traditional, task-specific feature engineering. In this course, students will gain a thorough introduction to cutting-edge research in Deep Learning for NLP. Through lectures, assignments, and a final project, students will learn the necessary skills to design, implement, and understand their own neural network models, using the Pytorch framework.
Publicly available lecture videos and versions of the course: Complete videos from the 2021 edition are available (free!) on the CS224N 2021 YouTube channel. Anyone is welcome to enroll in XCS224N: Natural Language Processing with Deep Learning, the Stanford Artificial Intelligence Professional Program version of this course, throughout the year (medium fee, community TAs, and certificate).
5. Harvard CS50 AI
Harvard CS50 AI: CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By the course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.
AI is a powerful technology with the potential to change the world. Learning AI can help you prepare for the future and open up new career opportunities. Taking a few online AI courses may be the edge you need to break into the industry and could be key to How To Get An Entry-Level Job With No Experience.
—Sensei
