TechMaster - Artificial Intelligence Foundations
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Course
TechMaster - Artificial Intelligence Foundations
Dive into the fundamentals of AI. Immerse yourself in the basic principles of data structure and data visualization. Develop a practical understanding of Python as an AI tool.
Build a solid foundation for your AI career and gain valuable skills.
Self-Paced
Mentored
Beginner
This course is part of a program:
It is not possible to enroll for individual courses on this program. If you wish to take this course, please enroll for the full program.
Artificial intelligence (AI) is forging ahead solving complex real-world problems; everything from self-driving cars, to facial recognition, to missile guidance, to tumour detection. This program covers the foundational requirements and applications needed for careers associated with AI and offers a broad introduction to the subject, including its history. As you progress through the program, you will be introduced to the many technologies used within AI systems. You will be introduced to Python; a very popular AI programming language. You will explore the basics of relational databases and algorithms. And you will become familiar with the concepts and tools used for data visualization. You will also develop skills in Jupyter Notebook, Python, MongoDB, SQL, NoSQL, and creating data, which will prepare you for tackling the hands-on labs provided in the program. Once you have learnt how to run your first Python program, you will then implement data structures, conditions, branching, looping, searching, and sorting in Python. You will discover how to set up a MongoDB cluster and work with relational databases. And you will work with various Python libraries, including pandas and NumPy, to visualize data in the form of charts and graphs. For individuals keen to take their first step in the amazing world of AI, this Artificial Intelligence Program is an ideal place to start.
Artificial Intelligence Foundations comprises five purposely designed courses that take you on a carefully defined learning journey. It is a self-paced program, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 4 hours per week, you will complete the program in 10 weeks. However, as long as the program is completed by the end of your enrollment, you can work at your own pace. And you will be encouraged to stay connected with your learning community and mentors through the course discussion space. The materials for modules are accessible from the start of the program and will remain available for the duration of your enrollment. include videos, hands-on labs, exercises, and knowledge checks.Enrollment in the program includes all five courses. You cannot enroll for the courses separately.
You will be able to: An understanding of AI trends and career opportunities. Knowledge of how AI is impacting businesses. Practical understanding of Python as an AI tool. How to create data visualizations using Python. Practical understanding of the different forms of graphs. An understanding of how statistics impacts AI research. An understanding of the basics of SQL and data structures.