A new year is here. You want to achieve your goals. Are you interested in exploring something new? Do you want to change your field of work? But it can be confusing.
You don’t know where to start. You’re unsure which course is best for you to achieve your professional goals. You’re not certain of the path you should take first. All of this can be extremely overwhelming. This article is here to help you.
Let’s assume you’re looking to make a career transition, specifically in the field of artificial intelligence. You’ve come to the right place. Microsoft offers great free resources to help you get to where you need to be.
Embracing all the free content you can get your hands on will be the best approach for you initially, before committing to paying for a course or going back to university. Free resources help in assessing if this is truly what you want to pursue.
- For AI Beginners: Microsoft offers a 12-week, 24-lesson curriculum to help you get acquainted with the world of artificial intelligence.
You will receive an introduction and history of artificial intelligence within 12 weeks, along with symbolic AI, an introduction to neural networks, computer vision, natural language processing, and other AI techniques.
- Using Azure OpenAI: You may have heard a lot about OpenAI in 2023. It’s time to learn more about it!
With the rising fame of large language models (LLMs), some of you may be interested in learning more about them. Conversational engineering and creative AI is what the tech world is talking about now, and you can talk about them too with this course.
Start by learning interface engineering, then move on to learning the basics of responsible artificial intelligence creation. Apply what you’ve learned through interface engineering with GitHub Copilot and Azure OpenAI.
If you’re interested in furthering your learning about Azure OpenAI, you can do so and elevate your skills in creative artificial intelligence to the next level!
- Custom Machine Learning Models: Now that you have a good idea about artificial intelligence and the Azure AI service, you may want to delve deeper – into machine learning models. Here is where you’ll understand the true beauty of artificial intelligence.
Another educational path will help you explore the tools to build and run your own model using your own data. The ability to improve your own machine learning model is a skill in itself.
You will learn how to create computer vision solutions, process and translate text, extract data from models, teach machine learning model selection, and deploy and use the models.
- Build Applications Using Azure AI: Interested in learning more about Azure service? Let’s delve deeper through these tutorials featuring articles, videos on YouTube, and hands-on content.
This course will introduce you to the set of tools you can use to build AI-powered applications using Azure AI services. If you are a fan of generative artificial intelligence, you can develop solutions using Azure OpenAI services, in addition to exploring chatbots and other AI models in Microsoft’s Copilot Studio.
- Utilize artificial intelligence in daily work: You will have the opportunity to learn about artificial intelligence and its concepts, then apply them in practice by building a custom machine learning model and application. You may be thinking, “How can artificial intelligence become part of my daily life?”
This course will precisely address that. While this content is geared towards developers, this might be the direction you want to pursue.
Everyone can easily enhance their work with the help of GitHub Copilot by starting to learn artificial intelligence with GitHub Copilot, and understanding how the two elements work together.
This way, you are now one step closer to achieving your goals in 2024 with some amazing free resources.
