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Artificial Intelligence and Machine Learning(AI&ML)

Artificial Intelligence and Machine Learning(AI&ML)

The AI-ML Training and Internship program provides hands-on experience in Artificial Intelligence and Machine Learning, covering key concepts like data preprocessing, model training, deep learning, and neural networks. Participants will work with Python, TensorFlow, scikit-learn, and other AI/ML tools to build predictive models and real-world applications. This program is designed to equip learners with industry-ready skills in AI-driven automation, data analysis, and intelligent decision-making.

Private Course
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Responsible Cipheren Technology
Last Update 01/02/2025
Members 4
Training & Internship
  • Module 1: Foundations of AIML
    7Lessons ·
    • Week 1: Introduction to AI and Machine Learning
    • Basics of AI and ML
    • Your First Machine Learning Task
    • Week 2: Mathematics for AIML
    • Linear Algebra and Calculus
    • Probability and Statistics
    • Quiz 1
      10 xp
  • Module 2: Machine Learning Algorithms
    7Lessons ·
    • Week 3: Supervised Learning
    • Introduction to Supervised Learning
    • Advanced Supervised Algorithms
    • Week 4: Unsupervised Learning
    • Introduction to Unsupervised Learning
    • Dimensionality Reduction
    • Quiz 2
      10 xp
  • Module 3: Neural Networks and Deep Learning
    7Lessons ·
    • Week 5: Introduction to Neural Networks
    • Basics of Neural Networks
    • Training and Optimizing Neural Networks
    • Week 6: Deep Learning with TensorFlow and Keras
    • Building Deep Learning Models
    • Fine-Tuning and Transfer Learning
    • Quiz 3
      10 xp
  • Module 4: Advanced Topics in AI and Machine Learning
    7Lessons ·
    • Week 7: Natural Language Processing (NLP)
    • Basics of NLP
    • Sentiment Analysis
    • Week 8: Reinforcement Learning (RL)
    • Introduction to RL
    • Applications of RL
    • Quiz 4
      10 xp
  • Module 5: Capstone Project Development and Finalization
    7Lessons ·
    • Week 9: Project Development
    • Planning the Capstone Project
    • Building and Testing the System
    • Week 10: Finalization and Presentation
    • Optimizing and Deploying the System
    • Preparing the Presentation
    • Quiz 5
      10 xp
  • Final Project
    1Lessons ·
    • Automated Diagnosis System for Medical Images