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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AI & Deep Learning Concepts and Applications
This course is part of AI ML with Deep Learning and Supervised Models Specialization
Instructor: Simplilearn Instructor
Included with 
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
- Artificial Intelligence
- Emerging Technologies
- Algorithms
- Artificial Neural Networks
- Business Ethics
- Tensorflow
- Digital Transformation
- Machine Learning
- Computer Programming
- Data Ethics
- Reinforcement Learning
- Unsupervised Learning
- Machine Learning Algorithms
- Deep Learning
- Supervised Learning
- Applied Machine Learning
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2025
Assessments
2 assignments
Taught in English
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This course is part of the AI ML with Deep Learning and Supervised Models Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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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
12 videos3 readings1 assignment
Explore deep learning, neural networks, TensorFlow, and reinforcement learning to build AI-driven models.
What's included
14 videos1 reading1 assignment
Instructor
Offered by
Recommended if you're interested in Data Analysis
DeepLearning.AI
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.
More questions
Financial aid available,