Artificial Intelligence

Artificial intelligence (AI) is an innovative and versatile field that enables machines to mimic human intelligence. It's applicable in numerous sectors like healthcare, finance, and entertainment, significantly impacting how we live and work.

What You Will Learn

Machine Learning Essentials

Discover the fundamentals of machine learning, one of the most innovative and widely-used applications of artificial intelligence. Learn about what it really means, and optionally explore advanced topics such as K-Nearest Neighbors to build a robust foundation for your AI journey.

Python and Scikit-learn 101

Understand the significance of Python and Scikit-learn in AI programming. Learn how to set up and practice with Python and Jupyter to effectively manage your machine learning workflows.

Predictive Modeling

Dive into the world of predictive models in AI. Learn how to create predictions with Python, from salary forecasting to customer churn and even Apple stock predictions, enhancing the practicality and versatility of your AI applications.

Real-World Applications

Get hands-on experience with AI through a series of practical exercises. Learn how to apply machine learning concepts in real-life scenarios and solve tangible problems, bolstered by supportive resources like cheat sheets and further learning suggestions.

Hands-on Experience To Tech Mastery

• A variety of free courses cover popular topics: web development, data, no code, and even more!
• High-quality videos and written courses
• Practical and corrected exercises to help you progress

What is Artificial Intelligence?

Artificial intelligence (AI) refers to the field of computer science that focuses on creating machines and software that can mimic human intelligence.

This involves understanding and emulating the human brain through machine learning models such as neural networks, which aim to replicate our own neural connections. AI can be used in a wide range of tasks, such as image classification, machine translation, handwriting recognition, and even the motion planning of autonomous robots.

It broadly incorporates other sub-fields, including natural language processing (NLP), which deals with how computers interact with human language, and machine learning, which is the practice of using algorithms to parse data, learn from it, and then make determinations or predictions.

Who Should Have Artificial Intelligence Skills? 

AI skills are beneficial for a wide range of professionals. Not only software engineers, data scientists, and machine learning engineers, but also individuals working in aerospace manufacturing fields or art research fields could benefit from AI knowledge.

AI skills can contribute significantly to solving complex, real-world problems, leveraging popular machine learning algorithms such as linear regression, logistic regression, Bayesian networks, and random forest.

Which Topics Are Covered In This Free Artificial Intelligence Course?

This AI course offers a comprehensive overview of core AI principles, starting with machine learning fundamentals. It introduces Python and Scikit-Learn, integral to AI programming, and covers predictive modeling, a practical application of machine learning.

Participants gain real-world AI application experience by engaging in problem-solving and data analysis. The completion of the course equips students with a broad AI understanding, similar to that offered by prestigious universities. The certificate may enhance career credentials and prepare individuals for advanced roles in AI, deep learning, and related fields.

How Can Learning Ai Benefit My Tech Career? 

Learning artificial intelligence can be extremely beneficial to your tech career. AI is at the cutting edge of advanced technologies, and having this skill set can open up a wide range of opportunities.

For instance, mastering key machine learning algorithms can allow you to develop software that can understand and respond to human language or create predictive models for business analytics.

Knowing how to use machine learning models can also lead to more specialized roles, such as that of a machine learning engineer at Google Brain or IBM AI Engineering.

Furthermore, the ability to understand and apply basic and core concepts of AI, such as probability distribution, probabilistic reasoning, and unsupervised learning, can help you handle a broader spectrum of tasks, such as building recommender systems and image processing.

In summary, acquiring AI skills, understanding AI principles, and having the ability to apply them in practical ways can significantly enhance your technical background and career prospects.

How many classes are available?

We're continually adding new content, so you can expect a wide variety of courses! Stay tuned for regular updates.

I’m new to tech; will this be too hard for me?

No! Most of our courses are designed to be accessible, even if you're new to technology. Our primary goal in offering these free courses is to help more people jumpstart their careers in tech. So, don't hesitate—dive in and give it a try!

How will I learn?

Our courses are organized into chapters, each featuring a lecture video created by one of our expert instructors. In these videos, they'll explain key concepts and demonstrate the process step-by-step.

You'll also have access to the slides used in the videos. After watching the lecture, it's your turn to apply what you've learned! Tackle the challenges and create your own technical projects to solidify your understanding.