AI & Deep Learning Concepts and Applications

This course is part of AI ML with Deep Learning and Supervised Models Specialization

Instructor: Simplilearn Instructor

What you'll learn

  •   Master AI fundamentals, applications, and key machine learning types.
  •   Understand neural networks, their types, and real-world applications.
  •   Build and deploy neural network models using TensorFlow and Python.
  •   Explore AI ethics, risks, and its transformative future potential.
  • Skills you'll gain

  •   Digital Transformation
  •   Supervised Learning
  •   Tensorflow
  •   Natural Language Processing
  •   Business Ethics
  •   Emerging Technologies
  •   Deep Learning
  •   Data Ethics
  •   Data Processing
  •   Algorithms
  •   Applied Machine Learning
  •   Artificial Intelligence
  •   Artificial Neural Networks
  •   Machine Learning
  •   Reinforcement Learning
  •   Unsupervised Learning
  • There are 2 modules in this course

    By the end of this course, you will be able to: - Master AI Fundamentals: Understand AI concepts, applications, and top technologies driving transformation across industries. - Apply Machine Learning Techniques: Differentiate between supervised, unsupervised, and reinforced learning, and apply them to solve complex problems. - Understand Neural Networks: Learn how neural networks function, their various types, and their applications in Deep Learning. - Develop TensorFlow Expertise: Gain hands-on experience with TensorFlow and Python to build and implement neural network models. - Analyze AI’s Impact: Explore ethical implications, potential risks, and the future of AI in transforming businesses and industries. Guided by experts, you’ll acquire practical skills and insights to apply AI, Machine Learning, and Deep Learning technologies effectively across diverse domains.

    Deep Learning, Neural Networks, and Reinforcement Learning

    Explore more from Data Analysis

    ©2025  ementorhub.com. All rights reserved