Program HighlightsPROGRAM

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.

Artificial Intelligence Foundations Highlights

  Course duration

Duration

  • Total 40 Hours
  Course Fee

Fee

US$ 99 - US$ 329

Course duration

Duration

  • Total 40 Hours
Course Fee

Fee

US$ 99 - US$ 329

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.

This program 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.

As part of our mentoring service you will have access to valuable guidance and support throughout the program. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services may vary package wise.

Once you have successfully completed the program, you will earn your FutureSkills Prime Certificate of Participation.

  • 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.
  • Individuals keen to learn AI concepts and technologies.
  • College graduates who want to start their career in AI.
  • Experienced developers seeking to upskill.
  • Basic math and statistical knowledge.
  • Basic computer skills.
  • Basic Python programming knowledge.

This course is aligned with industry-approved occupational standards set by SSC NASSCOM. Once you’ve successfully completed this course, you will receive a cobranded FutureSkills Prime/SkillUp Online Certificate of Participation that confirms you have:

  • Job-ready competencies
  • Practical experience
  • Assessed technical knowledge

The national occupational standards to which this course is aligned relate to the following job roles:

  • Data Quality Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Database Administrator
  • Machine Learning Engineer

Program Outline

Topics Covered

  • Course topic

    Welcome

  • Course topic

    Syllabus

  • Course topic

    Grading Scheme

  • Course topic

    Lab Exercises

  • Course topic

    Exams

Topics Covered

  • Course topic

    Module 1: Evolution and Definition of AI

  • Course topic

    Exam 1.1

  • Course topic

    Module 2: Difference Between Narrow, General and Super AI

  • Course topic

    Exam 1.2

  • Course topic

    Module 3: Applications of AI across industries

  • Course topic

    Exam 1.3

  • Course topic

    Module 4: Opportunities in AI

  • Course topic

    Exam 1.4

  • Course topic

    Module 5: Principles of Machine Learning

  • Course topic

    Exam 1.5

  • Course topic

    Course 1 Final Exam

Topics Covered

  • Course topic

    Module 1: Introduction to Database Concepts

  • Course topic

    Exam 2.1

  • Course topic

    Module 2: Foundations of Databases

  • Course topic

    Exam 2.2

  • Course topic

    Module 3: Implementations of Database Structures

  • Course topic

    Exam 2.3

  • Course topic

    Course 2 Final Exam

Topics Covered

  • Course topic

    Module 1: Introduction to AI Programming with Python

  • Course topic

    Exam 3.1

  • Course topic

    Module 2: Basic Python Programming for AI

  • Course topic

    Exam 3.2

  • Course topic

    Module 3: Algorithms

  • Course topic

    Exam 3.3

  • Course topic

    Module 4: Sorting Algorithms

  • Course topic

    Exam 3.4

  • Course topic

    Module 5: Searching Algorithms

  • Course topic

    Exam 3.5

  • Course topic

    Module 6 Geometric and Graphing Algorithms

  • Course topic

    Course 3 Final Exam

Topics Covered

  • Course topic

    Module 1: Basic Statistic Concepts

  • Course topic

    Exam 4.1

  • Course topic

    Module 2: Descriptive Statistics

  • Course topic

    Exam 4.2

  • Course topic

    Course 4 Final Exam

Topics Covered

  • Course topic

    Module 1: Fundamentals of Data Visualizations

  • Course topic

    Exam 5.1

  • Course topic

    Module 2: Types of Visualization Tools: Basic and Specialized

  • Course topic

    Exam 5.2

  • Course topic

    Module 3: Graph Types

  • Course topic

    Exam 5.3

  • Course topic

    Course 5 Final Exam

Topics Covered

  • Course topic

    Instructions

  • Course topic

    Final Exam

Topics Covered

  • Course topic

    NASSCOM Certificate

Course Certificate

Earn your certificate

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

Preview digital certificate

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 you’re 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.