Artificial Intelligence

Hands-on projects, Real industry tools, Career-focused training.
Everything you need to break into tech with confidence.

Artificial iNTELLIGENCE

Build a strong foundation in Artificial Intelligence (AI) and learn how intelligent systems are transforming global industries. Designed for students, freshers, and professionals, this course covers the complete AI workflow—from data handling to intelligent model building. You will gain hands-on experience with real-world tools and projects across Machine Learning (ML), Neural Networks, Natural Language Processing (NLP), and Generative AI.

Explore Our Course Modules

Module 1: Python Programming Fundamentals

  • Python Architecture & Internals
  • Installing Anaconda & Jupyter Notebook
  • Jupyter Notebook Overview
  • Python Data Types
  • Variables & Naming Conventions
  • Lists, Tuples, Sets & Dictionaries

Module 2: Python File Handling & Control Flow

  • Reading & Writing Files
  • Working with Directories
  • Command Prompt & Terminal Basics
  • File Handling using with
  • Conditional Statements (if, elif, else)
  • For & While Loops
  • Reading & Writing Files
  • Working with Directories
  • Command Prompt & Terminal Basics
  • File Handling using with
  • Conditional Statements (if, elif, else)
  • For & While Loops

Module 3: NumPy & Data Analysis

  • Introduction to NumPy
  • Machine Learning Libraries
  • Array Operations
  • Numerical Computing
  • NumPy Hands-on

Module 4: Data Analysis with Pandas

  • Introduction to Pandas
  • DataFrames & Series
  • Data Cleaning
  • Data Manipulation
  • Pandas Hands-on

Module 5: Data Visualization

  • Exploratory Data Analysis (EDA)
  • Data Visualization Techniques
  • Matplotlib
  • Seaborn
  • Visualizing Insights

Module 6: Statistics for AI

  • Statistical Thinking
  • Measures of Central Tendency
  • Measures of Dispersion
  • Interquartile Range (IQR)
  • Statistical Analysis

Module 7: Machine Learning Fundamentals

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Classification vs Regression
  • Model Training & Fine-Tuning

Module 8: Regression Models

  • Linear Regression
  • Linear Regression Metrics
  • Logistic Regression
  • Logistic Regression Metrics
  • Hands-on Regression Models

Module 9: Data Preprocessing

  • Data Preprocessing
  • Exploratory Data Analysis
  • Handling Missing Values
  • Outlier Detection
  • Standardization & Normalization
  • Feature Scaling & Selection

Module 10: Tree-Based Machine Learning

  • Decision Trees
  • Classification & Regression Trees
  • Bagging
  • Random Forest
  • Boosting Techniques

Module 11: Neural Networks

  • Introduction to Neural Networks
  • Artificial Neurons
  • Neural Network Architecture
  • Neural Network Applications
  • Project Discussion

Module 12: Natural Language Processing (NLP)

  • Introduction to NLP
  • Text Processing
  • NLTK
  • spaCy
  • Gensim
  • FastText

Module 13: Generative AI

  • Introduction to Generative AI
  • Hugging Face
  • How Generative AI Works
  • Generative AI Models
  • ChatGPT, DALL·E & Bard
  • Real-World Use Cases of Generative AI

Self Paced

Learn at your own pace

INR 7142
  • Recorded Sessions
  • Hands-on Projects
  • Certifications
  • Doubt Clear Sessions
  • Live Sessions
  • Mentor Guidence
  • Placement Support
  • 1:1 Mentoring

Mentor Led

Guided Learning with mentor support

INR 8570
  • Recorded Sessions
  • Hands-on Projects
  • Certifications
  • Doubt Clear Sessions
  • Live Sessions
  • Mentor Guidence
  • Placement Support
  • 1:1 Mentoring

Professional

Be placement ready

INR 14285
  • Recorded Sessions
  • Hands-on Projects
  • Certifications
  • Doubt Clear Sessions
  • Live Sessions
  • Mentor Guidence
  • Placement Support
  • 1:1 Mentoring

🏆 CAREER BOOSTER

Earn Industry-Recognized Certificates

Showcase your skills, strengthen your resume, and stand out to employers with industry-recognized certificates.

Tools and Technologies

Learn the industry’s most in-demand technologies

Curriculum

  • 15 Sections
  • 67 Lessons
  • 12 Weeks
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Yes, most of our courses offer a certificate of completion, provided you meet all the course requirements, such as passing quizzes and submitting assignments.
Courses often include quizzes, assignments, and sometimes final exams to assess your understanding of the material. The specific assessment methods will be detailed in the course syllabus.
Courses can be paid for using a credit/debit card, PayPal, or other payment methods specified at checkout. Payment is required at the time of enrollment.