AI Fundamentals

Anyone who carries out analyses or makes predictions based on historical data will benefit from this course. This could include roles such as marketers, business analysts, software engineers or any other role in which you need to make decisions based on complex data sets.

Yes, you will receive a certificate upon completion of the AI Fundamentals course.

Yes, AI can seem tough at first because it's complex and always changing. But if you start by learning fundamental concepts like machine learning, and the difference between supervised and unsupervised learning, it will become easier to understand. This is important due to the huge impact and potential of AI across all industries. Regardless of your background, or even if you have no aspiration to become an AI specialist, familiarizing yourself with AI's basic concepts can empower you to effectively utilize AI tools and better understand the AI revolution.

Yes, if you aim to become an AI engineer, coding skills are essential. However, you can still gain valuable knowledge from understanding AI concepts even if you're not planning to code. Having basic programming knowledge can be beneficial too, and learning to code isn't as intimidating as it may seem. There are interactive courses available, like DataCamp's Introduction to Python, which can help you get started and make the learning process more enjoyable and less overwhelming.

Starting a career in AI involves a deep understanding of its fundamental concepts. You should aim to gain a good grasp of AI basics such as machine learning, deep learning, natural language processing, and the differences between supervised and unsupervised learning. Additionally, skills in programming languages, such as Python or R, are crucial. Once you're comfortable with these basics, consider specializing in a particular area of AI, based on your interest. Remember, hands-on experience is invaluable, so try working on projects that give you practical exposure.