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Artificial Intelligence Course

Learn AI from Scratch to Deployment | Real-World Applications & Hands-On Projects

img12+ Lesson

img9hr 30min

img32 students enrolled

Web Development
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Overview
Course Overview

Step into the future with our Artificial Intelligence Course, designed to build a strong foundation in core AI principles and practical skills. This beginner-friendly course empowers you with programming fundamentals, statistical techniques, machine learning models, and powerful tools to analyze and visualize data. Perfect for aspiring AI developers, data enthusiasts, and problem solvers.

What You'll Learn

Our curriculum is carefully crafted to balance theory and hands-on implementation. By the end of this course, you’ll be equipped to build AI-driven solutions confidently.

Modules Covered:

1. Introduction to Computer Programming

  1. Understand the basics of programming logic and algorithms
  2. Hands-on Python coding exercises for problem-solving
  3. Use of variables, control flow, functions, and data structures

2. Numerical Programming in Python

  1. Learn NumPy and SciPy for mathematical computations
  2. Matrix operations and linear algebra
  3. Efficient handling of large datasets

3. Relational Database Systems

  1. Learn SQL and data modeling concepts
  2. Design and manage databases for AI projects
  3. Practical integration of databases with Python

4. Data Visualization Tools

  1. Master Matplotlib, Seaborn, and Plotly
  2. Create insightful visual dashboards and reports
  3. Data storytelling with real-world case studies

5. Applied Statistics

  1. Descriptive & inferential statistics for AI
  2. Probability distributions, hypothesis testing
  3. Regression, correlation, and statistical decision-making

6. Introduction to Machine Learning

  1. Supervised vs unsupervised learning
  2. Build models with Scikit-learn
  3. Train, test, evaluate ML models on datasets
  4. Real-world use cases: prediction, classification, clustering
Practical Learning
  1. Mini Projects in Each Module
  2. Final Capstone Project with Evaluation
  3. Real Data Use-Cases (e.g., sales forecasting, fraud detection)
What You Will Get
  • 100% Practical Training
  • Live Projects & Assignments
  • Career Guidance & Placement Support
  • Certificate of Completion
  • Access to Recorded Sessions & Study Materials
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Technologies Covered

Python Programming Basics

NumPy & SciPy (Numerical Programming)

Applied Statistics & Probability

SQL (Relational Database Systems)

Data Visualization with Matplotlib, Seaborn

Machine Learning with Scikit-learn

Real-World Mini & Capstone Projects

Who Is This Course For?
  • imgStudents exploring careers in AI & Data Science

  • imgBeginners with no programming background

  • imgAnalysts & Engineers looking to upskill

  • imgEnthusiasts curious about Machine Learning

  • imgProfessionals aiming to switch to AI/ML roles