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It’s the new year. You want to achieve your goals. Want to explore something new? Want to shift careers? But it can be daunting.
You don’t know where to start. You don’t know what course is the best for you to achieve your career goals. You’re unsure of which route to go down first. It can be all too overwhelming.
This blog is here to help.
Suppose you’re looking at a career shift, specifically AI-related. You landed on the right page. Microsoft has some really great FREE resources to help you get to where you need them.
Soaking up all the free content you can will be your best first approach, before diving into paying for a course or going back to university. Free resources help you gauge if this is what you really want to do.
Link: AI For Beginners
Microsoft offers a 12-week, 24-lesson curriculum to help you learn about the world of Artificial Intelligence.
In 12 weeks you will be provided with an Introduction and History of AI, as well as Symbolic AI, Introduction to Neural Networks, Computer Vision, Natural Language Processing, and other AI techniques.
Link: Azure OpenAI Service
You’ve probably heard a lot about OpenAI in the year 2023. Time to learn more about it!
With Large Language Models (LLMs) getting more and more popular; some of you may be interested in learning more about them. Prompt engineering and Generative AI is what the tech world is all talking about now, and so can you with this course.
Start off with learning about prompt engineering, and then move on to learning about the fundamentals of responsible Generative AI. Put what you have learnt into practice with prompt engineering with GitHub copilot and Azure OpenAI.
If you want to continue your learning around Azure OpenAI, you can do so and take your Generative AI skills to the next level!
Link: Custom Machine Learning Models
Now you have a good gist of AI and Azure AI Service, you probably want to get hands-on with a level below – machine learning models. This is where you will understand the true beauty behind AI.
Another learning path which will help you discover tools to build and run your model, with your own data. Being able to improve your machine-learning model is a skill in itself.
You will learn how to create computer vision solutions, process and translate text, extract data from forms, automate machine learning model selection, and deploy and consume models.
Link: Build Apps with Azure AI
Want to learn even more about Azure? Let’s dive a little deeper with this learning material that includes articles, YouTube videos and actual module content.
This course will help you learn about the range of tools that you can use to build AI-powered apps using Azure AI services. If Generative AI is up your street, you can develop solutions with Azure OpenAI Services, as well as explore chatbots and other AI models on Microsoft Copilot Studio.
Link: Using AI in Everyday Work
So you will have had the opportunity to learn about AI and its fundamentals, then put it into practice by building a custom machine learning model and an app. You may be thinking, ‘How can AI become part of my everyday life?’.
This course will go through exactly that. Although this content is recommended for developers, it may be the route you want to go down.
Streamline your work with GitHub Copilot by starting off with learning AI with GitHub Copilot, and understanding how the two pair.
Just like that, you’re one step closer to achieving your 2024 goals with some great free resources. Let us know what you liked about the content in the comment section!
Nisha Arya is a Data Scientist and Freelance Technical Writer. She is particularly interested in providing Data Science career advice or tutorials and theory based knowledge around Data Science. She also wishes to explore the different ways Artificial Intelligence is/can benefit the longevity of human life. A keen learner, seeking to broaden her tech knowledge and writing skills, whilst helping guide others.
