Hi, 
Artificial Intelligence Foundations
Enrollment is Closed
Program
Artificial Intelligence Foundations
Dive into the fundamentals of AI. Immerse yourself in organizing and presenting data effectively. Gain a practical understanding of popular AI language and tools. Build a strong foundation in AI and learn practical skills that you can easily apply to your work.
Flexible Schedule
Beginner Level
Mentor Support
Enrollment in this course is by invitation only.
If you would like to find out more about this training for your organization, please reach out to us at [email protected]
Artificial intelligence (AI) is forging ahead solving complex real-world problems; everything from self-driving cars to facial recognition, to missile guidance, to tumor 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.
Our training initiative is tailored to empower central government personnel with the requisite knowledge and skills to leverage the full potential of AI in their current and future roles. As you progress through the program, you'll not only acquire expertise in a popular AI programming language but also explore databases and algorithms. Plus, you'll familiarize yourself with the key concepts and tools that constitute the backbone of AI.
By providing this comprehensive AI training, our goal is to ensure that central government employees are well-prepared to navigate and contribute meaningfully to an environment where AI technologies are becoming increasingly integral. This initiative will position central government employees to thrive in a future where AI plays a pivotal role in public service and administration.
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 does not run to a fixed schedule with regard to completing modules or submitting assignments. 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.
Once you have successfully completed Artificial Intelligence Foundations, you will earn your industry-recognized certificate by Microsoft India and SkillUp Online.
You will have:
This program is aligned with industry-approved occupational standards. Once you have successfully completed this program, you will have:
Program Outline
Course Introduction
Program Syllabus
Grading Scheme
Lab Installation - Jupyter Labs
Final Exam Instructions
Reading: Module Introduction
Reading: The Evolution and Definition of AI
Reading: Early AI Technology
Reading: AI Pioneers
Infographic: AI Timeline and Famous Applications
Reading: Current AI Tech and Trend-setters
Reading: Key AI Concepts and Terminology
Reading: Opportunities and Occupations in AI
Video - Why Study Artificial Intelligence?
Exam 1.1 - 4 Questions
Reading: Module Introduction
Reading: The Difference Between Narrow, General, and Super AI
Exam 1.2 - 4 Questions
Reading: Module Introduction
Reading and Lab: Application of AI Across Industries
Reading: AI in Video and Image Processing
Reading and Lab: Uses of AI in Speech Processing and Intelligent Bots
Exam 1.3 - 4 Questions
Reading: Module Introduction
Reading: Opportunities in AI Across Industries
Reading: Basics of Deep Learning and Advanced Analytics
Reading: The Coming Ethical and Legal Issues Associated with AI
Exam 1.4 - 4 Questions
Reading: Module Introduction
Reading: Principles of Machine Learning
Video: What is Machine Learning?
Reading: Machine Learning Model
Video: Classification and Regression in Machine Learning
Exam 1.5 - 4 Questions
Final Exam - 15 Questions
Reading: Introduction to Database Concepts
Reading: Learning Objectives
Module 2.1 Exam - 3 Questions
Module 2.2 Lab Exercises
Reading: SQL Relational Database Models
Reading & Video: Types of SQL Relationships
Reading: Data Types and Data Formats
Lab: Define and Describe NoSQL Databases
Module 2.2 Exam - 8 Questions
Module 3 Lab Exercises
Reading: Selecting and Retrieving Data from a SQL Database
Reading & Labs: Filtering, Sorting and Calculating Data
Reading and Lab: Building Joins
Lab: Using Python for Data Acquisition and Analysis
Module 2.3 Exam - 5 Questions
Final Exam - 20 Questions
Reading: Python Course Introduction
Reading & Video: Advantages of Python in AI
Reading: Data Types
Video - Data Types
Lab: Data Types in Python
Reading: Understand and Define Fundamental Data Structures
Lab: Understand and Define Fundamental Data Structures
Reading: Implement and Apply Data Structures
Lab: Implement data structures
Exam 3.1 - 5 Questions
Reading: Basic Python Programming Introduction
Reading: String Operations
Lab - Strings in Python
Video - Data Structures
Reading: Demonstrate Lists and Tuples
Video: Demonstrate Lists and Tuples
Lab: Demonstrate Lists and Tuples
Reading: Operators
Lab: Operators and Operations
Reading: Demonstrate Conditions, Branching
Lab: Demonstrate Conditions and Branching
Reading: Loops - for,while
Lab: For Loops and While Loops
Reading: Functions, Classes, Objects
Lab: Functions, Classes, and Objects
Basic Python Scripts
Pandas and Numpy
Hands-on Lab - Pandas
Hands-on Lab - Numpy
Exam 3.2 - 5 Questions
Reading: Algorithms Module Introduction
Reading: Understand and Define Sorting Algorithms
Reading: Create and Apply Algorithms
Module 3.3 Exam - 4 Questions
Reading: Sorting Algorithms Module Introduction
Reading: Sorting Algorithms
Jupyter Notebook Labs: Quick Sort
Jupyter Notebook Labs: Insertion Sort
Exam 3.4 - 3 Questions
Reading: Searching Algorithms Module Introduction
Searching Algorithms
Jupyter Notebook Labs: Linear Search
Jupyter Notebook Labs: Binary Search
Exam 3.5 - 3 Questions
Reading: Geographic and Graphing Algorithms Module Introduction
Reading: Geometric Algorithms
Final Exam - 10 Questions
Reading: AI Statistics - Python Introduction
Reading: Getting Started with Cognos
Reading: Basic Statistic Concepts
Exam 4.1 - 3 Questions
Reading: Descriptive Statistics Introduction
Reading: Define and Demonstrate Descriptive Statistics
Hands-on Lab - Calculating central values
Reading: Define and Demonstrate Probability
Reading: Define and Demonstrate Correlation
Hands-on Lab - Correlation of Data
Reading: Define and Demonstrate Linear Regression
Reading: Describe Basic Statistical Analysis Tools
Reading: Descriptive Statistics Summary
Hands-on lab - Using plotly with built-in data
Exam 4.2 - 5 Questions
Final Exam - 10 Questions
Reading: Data Visualization Fundamentals Course Introduction
Reading: Understand and Define Simple Data Visualizations and Graph Types
Reading: Identify Popular Visualization Dashboards
Exam 5.1 - 4 Questions
Reading: Module Introduction
Reading: Define and Describe Basic Visualization Tools
Reading: Define Specialized Visualization Tools
Reading: Describe Creating Maps and Visualizing Geospatial Data
Exam 5.2 - 4 Questions
Reading: Module Introduction
Reading: Introduction to Building Charts
Lab: Build Pie Chart
Lab: Build Line Chart
Lab: Build Bar Chart
Lab: Build Column Graph
Lab: Build Ring Plot
Lab: Build Map Graph
Reading: Course Conclusion
Exam 5.3 - 4 Questions
Final Exam - 10 Questions
Instructions
Final Exam - 30 Questions
Project 1: Heart Failure
Orientation
Generative AI
AI Brilliance Unleashed
ML Concepts
Revolutionizing Healthcare
PIONEERING AI
MS Copilot
Orientation
Master class 1 - (16-03-2024)
Master class 2 - (23-03-2024)
Master class 3 - (06-04-2024)
Master Class 4 - (13-04-2024)
Master Class 5 - (20-04-2024)
Unlocking AI Creativity with MS Copilot
Certificate
Earn your certificate
Once you have completed this course, you will earn your certificate.
Trusted by 500K+ active Learners & Professionals across 15 countries
Real Learners. Real Outcomes.
Hear directly from our learners about how our training has transformed their lives.
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.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Type of certificate
Program Certificate
About this program
05 Courses
19 Modules
05 Skills
Includes
Discussion space
32 Hands - on labs
18 Videos
18 Module exams
05 Course exams
01 Final exam
Create
Jupyter notebook
Data analyzing project
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.