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Advanced Certification in Artificial Intelligence

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    • Program length
      180 Contact Hours
    • Credits
      20
    • Semester
      3
    • Target age group
      14 to 17 years

Advanced Certification In Artificial Intelligence

Course- 1: Python Programming and Algorithms (30 Hours | 3 Credits)

A: Course Outline

  • Introduction to Python Language
  • Basic Data Types, Variables, and Operators
  • Control Flow and Loops
  • Recursion
  • Dynamic Programming
  • Divide and Conquer
  • Greedy Algorithms
  • Graph-Based Algorithms

B: GUEST LECTURE -by Eminent Expert

C: Assessment (TWO X 30 minutes = 1hr.)

D: Project: Python Pioneers: Conquering Coding Challenges

Standalone certificate: Python Pioneers upon completion of Course 1

Course-2: Statistics and Exploratory Data Analysis (30 Hours | 3 Credits)

A: Course Outline

  • Introduction to Data and Statistics
  • Collecting and Organizing Data
  • Descriptive Statistics
  • Data Visualization
  • Probability and Random Variables
  • Inferential Statistics
  • Correlation and Regression
  • Introduction to Python for Data Analysis
  • Importing and Loading Data
  • Data Cleaning
  • Summary Statistics
  • Data Exploration
  • Data Visualization Libraries

B: GUEST LECTURE -by Eminent Expert

C: Assessment (TWO X 30 minutes = 1hr.)

Course-3: Machine Learning Fundamentals (Supervised, Unsupervised, Reinforcement Learning) (40 Hours | 4 Credits)

D: Course Outline

  • Introduction to machine learning concepts
  • Supervised Learning
  • Unsupervised learning
  • Introduction to Reinforcement Learning

E: GUEST LECTURE -by Eminent Expert

F: Assessment (TWO X 30 minutes = 1hr.)

Standalone certificate: AI Pathfinder upon completion of Course 2 & 3

Course-4: Neural Nets: Theory, Applications and Societal Aspects (60 hrs. | 6 Credits)

A: Course Outline

  • Basics of neural networks and deep learning
  • Introduction to popular deep learning frameworks (TensorFlow, Keras)
  • Basic deep learning models and architectures
  • Understanding AI Bias and Fairness
  • Ethical Considerations in AI Development and Deployment
  • Explainability and Transparency in AI Algorithms
  • Project: Ethical AI Explorers: Navigating the Moral Compass of AI

B: GUEST LECTURE -by Eminent Expert

C: Assessment

Standalone certificate: Deep Dive Maestro upon completion of Course 4

Capstone Project (20 Hours | 4 Credits)

  • Define and solve a real-world problem using AI concepts learned throughout the program
  • Apply knowledge and skills to create an innovative solution
  • Work alongside top Professors and Industry AI gurus
  • Project: AI Innovators Showcase: Solving Real-World Challenges
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