If you're interested in developing your Artificial Intelligence skills and creating new applications, then look no further than Practical Artificial Intelligence - the course that will help you do precisely that.
Create new AI applications with Practical Artificial Intelligence
This course is designed to give you fundamental knowledge and experience of Artificial Intelligence technologies, along with practical examples of how they are used across different fields. Aimed at newly graduated university students, high school students, administrators, entrepreneurs, and anyone else looking to improve their skills, you'll learn how to use Python, R, Google Colab, UIPath, and Power BI to create new AI solutions.
The course is made up of seven sections that cover a variety of topics:
Section 1: Information Technologies
This section will give you an introduction to Information Technologies and explore the different application areas such as education, government, healthcare, technology, commerce, and manufacturing. It's important to learn about these fields in order to develop a greater understanding of how AI is being used in practice.
Section 2: Artificial Intelligence
This section will delve into Artificial Intelligence, including machine learning, robotic systems, robotic vision, and natural language processing. The knowledge you gain here will be fundamental towards your understanding of AI, as we will then look at some of the most important software used in AI.
Section 3: Best AI software you need to know
This section will give you an overview of some of the best software applications you need to know in order to work with AI. Python, R, Google Colab, Anaconda, UIPath, and Power BI are just some of the software programs that you'll learn about in more depth. Plus, this section will be great preparation for what comes next: Practical AI Examples.
Section 4: Practical AI Examples
In this section, you'll get hands-on experience with the AI concepts you've learned so far. You'll work with several sample programs and projects, so you'll be ready to start working towards Industry 4.0. You'll learn how to:
- Use CakeMix to automatically open Excel files and draw graphs
- Make new music on your computer
- Recognize faces and identify them from images
- Extract text from digital images and read license plates
- Convert text files to sound files
- Create a digital assistant
Section 5: Mobile App Programming
In Section 5, you'll learn how to program mobile apps for Android and iOS, along with RESTful API programming. As mobile applications become more popular, it's important to know how to create apps that incorporate AI technology, making you stand out in a crowded market.
Section 6: AI Python Package Programming
This section prepares you to work with AI Python Package Programming. Python is the go-to tool for AI programmers, and this course will teach you how to use it to develop AI applications quickly and easily.
Section 7: Next Steps
The final section will provide you with some next steps for developing your skills further. You'll learn about some of the most recent industry developments so that you can start working on the best AI tools for your needs.
Learn AI using Python, R, Google Colab, UIPath, and Power BI
As you can see, Practical Artificial Intelligence is a comprehensive course that will give you all the knowledge and skills you need to develop your AI applications. With its hands-on approach and practical examples, it's perfect for anyone looking to develop their technical skills.
When you complete this course, you'll receive a certificate from Udemy, and all the source codes for the courses will be provided to you. So don't hesitate any longer - enroll in Practical Artificial Intelligence and start developing your AI skills today!
