TechMaster - Artificial Intelligence Foundations

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TechMaster - Artificial Intelligence Foundations

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

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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.

  • Course Outline

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    Earn your certificate

    Once you have completed this course, you will earn your certificate.

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    Why Learn with SkillUp Online?

    We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

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    Reskilling into tech? We’ll support you.

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    Upskilling for promotion? We’ll help you.

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    Cross-skilling for your career? We’ll guide you.

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    Personalized Mentoring & Support

    1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

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    Practical Experience

    Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

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    Best-in-Class Course Content

    Designed by the industry for the industry so you can build job-ready skills.

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    Job-Ready Skills Focus

    Competency building and global certifications employers are actively looking for.

    Course Offering

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    Type of certificate

    FutureSkills Prime Certificate of Participation

    course

    About this course

    05 Courses

    19 Modules

    05 Skills

    includes

    Includes

    Discussion space

    32 Hands - on labs

    18 Videos

    18 Module exams

    05 Course exams

    01 Final exam

    create

    Create

    Jupyter notebook

    Data analyzing project

    exercises

    Exercises to explore

    Jupyter Notebook

    MongoDB - SQL & NoSQL

    Python

    Newsletters & Updates

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    FAQs

    Yes. Artificial Intelligence Foundations is 100% online. You will not be required to attend any classes in person. With this in mind, therefore, please note you will need appropriate access to the internet and the required technology to be able to use the program materials. The materials are in the form of articles, videos, and knowledge checks.

    This means you can access this program wherever you live in the world. And the great new is that you won't be learning alone. You will be encouraged to connect with other learners and the program mentors through the program discussion space.

    This program has been specifically designed for learners who have never worked in the field of artificial intelligence before; you do not need to have background experience at all. It therefore offers an excellent introduction to the subject. However, you will need basic math and statistical knowledge, some basic computers skills, and also some basic Python programming experience before you start the program. This will help you greatly as you progress.

    Artificial Intelligence Foundations has been designed to run as self-paced program. This means you have complete flexibility on the order of the modules you work on. However, the program has been designed to introduce topics in a way that is of most use to the learner, because skills and concepts that are required in a later module in the program are introduced early on. Thus, the order of the modules that you will see set out in your dashboard is the order that we recommend you follow.

    We would say yes. Python is a very useful language if you want to pursue a career in both AI and data science. This is because it is easy to learn and easy to use. Plus, many of the data analysis and visualization tasks required for data science are conducted using coding in Python. You will find, therefore, that many employers will advertise roles requiring coding skills in Python. So, if youre near the start of your programming journey, then Python is a great language to learn.

    The great news is that one of the courses in this program introduces this language well - AI Programming Fundamentals: Python. By the end of this part of the program, you will have learnt the basics of this critical language in AI, and will be able to apply what you have learned using Jupyter Notebook.

    TechMaster - Artificial Intelligence Foundations

    Course Offering

    certificate

    Type of certificate

    FutureSkills Prime Certificate of Participation

    course

    About this course

    05 Courses

    19 Modules

    05 Skills

    includes

    Includes

    Discussion space

    32 Hands - on labs

    18 Videos

    18 Module exams

    05 Course exams

    01 Final exam

    create

    Create

    Jupyter notebook

    Data analyzing project

    exercises

    Exercises to explore

    Jupyter Notebook

    MongoDB - SQL & NoSQL

    Python

    Newsletters & Updates

    Subscribe to get the latest tech career trends, guidance, and tips in your inbox.