Course Details

AI Essentials: From Data to Intelligence

Embark on a comprehensive 12-week journey into the world of AI with our flagship program. Designed for both beginners and intermediate learners, this program provides a structured path to mastering AI fundamentals, machine learning, and practical implementation skills.

Course Overview

Our AI Essentials program offers a carefully structured learning path spanning 12 weeks, with over 160 hours of intensive training. Led by specialized trainers for each module, the program combines theoretical knowledge with hands-on practice, culminating in a real-world capstone project. From Python basics to advanced ML concepts, each week builds upon the previous learning, ensuring a solid foundation in AI and machine learning.

  • Expert-Led Training: Each module is conducted by specialized trainers, including AI Fundamentals experts, Data Science specialists, and AI Ethics professionals, ensuring deep domain expertise in every topic.

  • Progressive Learning Structure: Starting from basic Python programming and advancing to sophisticated ML algorithms and model deployment, the course ensures a natural progression of skills with 8-12 hours of training per topic.

  • Practical Focus: Includes 20 hours of capstone project development, regular mini-projects, and hands-on practice sessions, with dedicated time for tools like Git, Jupyter Notebooks, and Google Colab.

Phase 1 - Introduction to AI and Python Basics (Week 1-4)

  • A. AI and Python Fundamentals (Week 1-2)

       • AI Concepts and Applications (8 hours)

       • Python Syntax and Data Structures (12 hours)

       • Basic Algorithms and Problem-Solving (8 hours)

       • Python Practice and Mini-Project (12 hours)

  • B. Data Manipulation and Analysis (Week 3-4)

       • NumPy for Numerical Computing (8 hours)

       • Pandas for Data Manipulation (12 hours)

       • Data Cleaning and Preprocessing (8 hours)

       • Data Analysis Practice (12 hours)

Phase 2 - Data Visualization and Machine Learning (Week 5-8)

  • A. Data Visualization and Statistics (Week 5-6)

       • Matplotlib for Basic Visualization (8 hours)

       • Seaborn for Advanced Visualization (8 hours)

       • Descriptive Statistics and Probability Basics (16 hours)

       • Visualization and Statistics Practice (8 hours)

  • B. Machine Learning Fundamentals (Week 7-8)

       • ML Concepts and Workflow (8 hours)

       • Supervised Learning Algorithms (12 hours)

       • Unsupervised Learning Basics (8 hours)

       • ML Practice and Implementation (12 hours)

Phase 3 - Model Deployment and Capstone Project (Week 9-12)

  • A. Model Deployment and Tools (Week 9-10)

       • Introduction to Model Deployment (8 hours)

       • Version Control with Git (8 hours)

       • Jupyter Notebooks (12 hours)

       • Google Colab and Cloud Computing (12 hours)

  • B. Capstone Project and Ethics (Week 11-12)

       • Capstone Project Development (20 hours)

       • AI Ethics and Responsible AI (8 hours)

       • Project Presentations and Course Wrap-up (12 hours)

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  • Standard Price ₹60,000
  • Early Bird Price ₹51,000
  • Corporate Price ₹72,000
  • Duration 12 Weeks
  • Projects 12
  • Quizzes 8
  • Group Discount 10% off
  • Alumni Discount 20% off
  • Merit Scholarship Up to 50% off
  • Need-based Aid Up to 30% off
  • Payment Plans 2-3 installments
  • Rating 4.9(80 reviews)
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