This comprehensive Artificial Intelligence and Deep Learning program will equip you with the knowledge and practical skills to thrive in the rapidly evolving AI landscape. You’ll master AI fundamentals, machine learning techniques, and deep learning frameworks to address real-world challenges and drive innovation.
AI & Deep Learning Concepts and Applications
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Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
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
Details to know
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Recently updated!
January 2025
Assessments
1 assignment
Taught in English
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There are 2 modules in this course
This comprehensive Artificial Intelligence and Deep Learning program will equip you with the knowledge and practical skills to thrive in the rapidly evolving AI landscape. You’ll master AI fundamentals, machine learning techniques, and deep learning frameworks to address real-world challenges and drive innovation. Guided by experts, you’ll acquire practical skills and insights to apply AI, Machine Learning, and Deep Learning technologies effectively across diverse domains.
What's included
25 videos3 readings
This comprehensive Artificial Intelligence and Deep Learning program will equip you with the knowledge and practical skills to thrive in the rapidly evolving AI landscape. You’ll master AI fundamentals, machine learning techniques, and deep learning frameworks to address real-world challenges and drive innovation. Guided by experts, you’ll acquire practical skills and insights to apply AI, Machine Learning, and Deep Learning technologies effectively across diverse domains.
What's included
1 assignment
Instructor
Offered by
Recommended if you're interested in Machine Learning
Coursera Project Network
DeepLearning.AI
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Frequently asked questions
Deep learning is a subset of AI that uses neural networks to mimic the way humans learn. It processes large datasets through layers of algorithms to identify patterns, enabling tasks like image recognition, natural language processing, and autonomous driving.
Yes, you can gain a foundational understanding of AI concepts, tools, and techniques in 3 months with a focused learning plan. However, mastering advanced AI topics or applying AI in real-world projects may take more time and practice.
Yes, coding is essential for AI, as it involves programming languages like Python to build algorithms, train models, and work with AI frameworks like TensorFlow or PyTorch. However, beginners can start with no-code AI tools to understand the basics.