AI/ML

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Breadcrumb Abstract Shape
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Breadcrumb Abstract Shape

This course provides a practical and theoretical introduction to Artificial Intelligence (AI) and Machine Learning (ML), guiding learners through the core concepts, techniques, and tools used in modern AI/ML development. Learners will explore supervised and unsupervised learning, deep learning, model evaluation, and real-world applications such as natural language processing (NLP) and computer vision.

Using tools like Python, Scikit-learn, TensorFlow, Keras, and Jupyter Notebooks, students will gain hands-on experience in building, training, and deploying machine learning models. The course also includes insights into AI ethics, responsible AI, and data preprocessing, preparing learners for industry roles or further specialization.

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What Will You Learn?
  • By the end of this course, learners will be able to:
  • Understand the fundamental concepts of AI and the machine learning lifecycle
  • Differentiate between types of ML algorithms: supervised, unsupervised, and reinforcement learning
  • Preprocess and prepare data for machine learning workflows
  • Build, train, and evaluate ML models using Python libraries (e.g., Scikit-learn, TensorFlow)
  • Apply algorithms to real-world problems such as classification, regression, and clustering
  • Understand key deep learning concepts, including neural networks and backpropagation
  • Explore applications of AI in NLP, computer vision, and recommendation systems
  • Discuss ethical considerations and responsible AI practices

Audience

  • This course is designed for:
  • Aspiring data scientists and machine learning engineers
  • Software developers interested in integrating AI/ML into applications
  • Data analysts and statisticians transitioning into machine learning roles
  • Students and graduates in computer science, data science, engineering, or mathematics
  • Professionals preparing for AI/ML certifications or pursuing advanced roles in tech
  • Tech enthusiasts and researchers curious about real-world AI applications

Course Content

AI/ML – Beginner Level

  • Beginner
  • Introduction to AI and ML
  • Python for AI/ML
  • Data Preprocessing
  • Introduction to Machine Learning
  • First ML Model: Linear Regression
  • Classification Basics

AI/ML – Intermediate Level

AI/ML- Advanced Level

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Course Includes:

  • Price:
    Original price was: $500.00.Current price is: $300.00.
  • Instructor:admin
  • Duration: 60 minutes
  • Lessons:20
  • Students:0
  • Level:All Levels
$300.00 $500.00