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.
涵盖的内容
12个视频3篇阅读材料1个作业
显示有关单元内容的信息
12个视频•总计74分钟
What is Artificial Intelligence?•1分钟
Introduction to Artificial Intelligence•4分钟
How To Become An Intelligence Engineer?•3分钟
Artificial Intelligence Applications•11分钟
Top 10 Artificial Intelligence Applications•8分钟
Types Of Artificial Intelliegence•4分钟
Should We Be Afraid of Artificial Intelligence?•13分钟
Future of AI•7分钟
Introduction to Machine Learning•8分钟
Types of Machine Learning•5分钟
The Right Machine Learning Solution•3分钟
Machine Learning Algorithms•7分钟
3篇阅读材料•总计30分钟
Course Syllabus•10分钟
Introduction to AI•10分钟
Artificial Intelligence and Machine Learning•10分钟
1个作业•总计40分钟
Foundations of Artificial Intelligence and Machine Learning•40分钟
Deep Learning, Neural Networks, and Reinforcement Learning
第 2 单元•小时 后完成
单元详情
Explore deep learning, neural networks, TensorFlow, and reinforcement learning to build AI-driven models.
涵盖的内容
14个视频1篇阅读材料1个作业
显示有关单元内容的信息
14个视频•总计105分钟
What is Deep Learning?•1分钟
What is Neural Network?•11分钟
Types of Neural Network•7分钟
How Neural Network Work?•10分钟
Introduction to Tensorflow•5分钟
TensorFlow Implementation using Python (Part 1)•9分钟
TensorFlow Implementation using Python (Part 2)•14分钟
New Video•9分钟
Reinforcement Learning•6分钟
Important terms•4分钟
Markovs Decision Process•3分钟
Reinforcement Learning Demo Part 1•12分钟
Reinforcement Learning Demo Part 2•9分钟
Supervised vs Unsupervised vs Reinforcement Learning•5分钟
1篇阅读材料•总计10分钟
Deep Learning Concepts and Applications•10分钟
1个作业•总计80分钟
Assessment for AI & Deep Learning Concepts and Applications•80分钟
Simplilearn is a global leader in digital upskilling, offering highly specialized training in emerging technologies and processes shaping the digital economy's future. We focus on innovations transforming the digital landscape while significantly reducing costs and time compared to traditional methods. More than one million professionals and 2,000 corporate training organizations have benefited from our award-winning programs to achieve their career and business goals.
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.
Can I learn AI in 3 months?
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.
Does AI require coding?
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.
Is AI hard to study?
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.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
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.