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Made in

English
Last updated at

Tue, 10-Dec-2024
Level
Beginner
Total lessons

28
Total duration

01:24:00 Hours
Number of reviews

1
Total enrolment

2
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Short description
Unlock the power of artificial intelligence and machine learning at your own pace with our comprehensive online course. Designed for self-learners, this course delves into the core concepts and applications of AI, focusing on practical, hands-on experience with TensorFlow and neural networks. You'll start with the basics and progress to advanced topics, learning how to build, train, and deploy powerful AI models. Perfect for beginners and professionals looking to enhance their skills, this course offers a flexible learning path with engaging video tutorials, interactive assignments, and real-world projects. Join us to become proficient in the cutting-edge technologies that are shaping the future!
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Requirements
  • Basic Programming Knowledge: Familiarity with basic programming concepts is essential, preferably in Python, as the course involves coding exercises and projects.
  • Mathematical Foundation: A good understanding of high school-level mathematics, particularly linear algebra, calculus, and statistics, is recommended to grasp the underlying principles of machine learning and neural networks.
  • Computer with Internet Access: A reliable computer with internet access is necessary to access course materials, participate in online discussions, and complete assignments.
  • TensorFlow Installation: Ability to install and set up TensorFlow on your computer. Detailed instructions will be provided, but you should be comfortable with basic software installation and configuration.
  • Basic Knowledge of Machine Learning: While the course is designed for beginners, having a basic understanding of machine learning concepts will be advantageous.
  • Commitment to Self-Paced Learning: The course is self-paced, requiring self-discipline and time management skills to stay on track and complete the coursework.
  • Curiosity and Enthusiasm for AI: A strong interest in artificial intelligence and a willingness to learn and experiment with new technologies will help you get the most out of this course.
  • Access to Online Learning Tools: Familiarity with online learning platforms and tools, such as video conferencing software, forums, and interactive coding environments, will enhance your learning experience.
Outcomes
  • Solid Understanding of AI and Machine Learning Fundamentals: Gain a comprehensive knowledge of the core principles and concepts underlying artificial intelligence and machine learning.
  • Proficiency in TensorFlow: Develop strong skills in using TensorFlow for building, training, and deploying machine learning models.
  • Ability to Build Neural Networks: Learn to design, implement, and optimize various types of neural networks, including convolutional and recurrent neural networks.
  • Practical Experience with Real-World Projects: Apply your learning to real-world scenarios through hands-on projects, gaining practical experience in solving complex AI problems.
  • Data Preprocessing and Feature Engineering Skills: Master techniques for preparing and transforming data to improve model performance and accuracy.
  • Model Evaluation and Optimization: Learn how to evaluate machine learning models and implement strategies to optimize their performance.
  • Capability to Work Independently: Develop the skills and confidence to independently tackle AI and machine learning projects, from conception to deployment.
  • Certification of Completion: Earn a recognized certificate upon completing the course, showcasing your expertise in AI, machine learning, TensorFlow, and neural networks to potential employers or for academic advancement.