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⇱ AI & Deep Learning Concepts and Applications | Coursera

AI & Deep Learning Concepts and Applications

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AI & Deep Learning Concepts and Applications

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Gain insight into a topic and learn the fundamentals.
4.1

10 reviews

Beginner level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.1

10 reviews

Beginner level

Recommended experience

6 hours to complete
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.

Details to know

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Assessments

2 assignments

Taught in English

Build your subject-matter expertise

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

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.

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.

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

12 videos•Total 74 minutes
  • What is Artificial Intelligence?•1 minute
  • Introduction to Artificial Intelligence•4 minutes
  • How To Become An Intelligence Engineer?•3 minutes
  • Artificial Intelligence Applications•11 minutes
  • Top 10 Artificial Intelligence Applications•8 minutes
  • Types Of Artificial Intelliegence•4 minutes
  • Should We Be Afraid of Artificial Intelligence?•13 minutes
  • Future of AI•7 minutes
  • Introduction to Machine Learning•8 minutes
  • Types of Machine Learning•5 minutes
  • The Right Machine Learning Solution•3 minutes
  • Machine Learning Algorithms•7 minutes
3 readings•Total 30 minutes
  • Course Syllabus•10 minutes
  • Introduction to AI•10 minutes
  • Artificial Intelligence and Machine Learning•10 minutes
1 assignment•Total 40 minutes
  • Foundations of Artificial Intelligence and Machine Learning•40 minutes

Explore deep learning, neural networks, TensorFlow, and reinforcement learning to build AI-driven models.

What's included

14 videos1 reading1 assignment

14 videos•Total 105 minutes
  • What is Deep Learning?•1 minute
  • What is Neural Network?•11 minutes
  • Types of Neural Network•7 minutes
  • How Neural Network Work?•10 minutes
  • Introduction to Tensorflow•5 minutes
  • TensorFlow Implementation using Python (Part 1)•9 minutes
  • TensorFlow Implementation using Python (Part 2)•14 minutes
  • TensorFlow Implementation using Python (Part 3)•9 minutes
  • Reinforcement Learning•6 minutes
  • Important terms•4 minutes
  • Markovs Decision Process•3 minutes
  • Reinforcement Learning Demo Part 1•12 minutes
  • Reinforcement Learning Demo Part 2•9 minutes
  • Supervised vs Unsupervised vs Reinforcement Learning•5 minutes
1 reading•Total 10 minutes
  • Deep Learning Concepts and Applications•10 minutes
1 assignment•Total 80 minutes
  • Assessment for AI & Deep Learning Concepts and Applications•80 minutes

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Instructor

Simplilearn
23 Courses•28,058 learners

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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.

AI can be challenging to study due to its technical nature, but with consistent effort and access to beginner-friendly resources, anyone can learn it. Breaking down complex topics and focusing on practical applications makes the learning process manageable.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,