Deep Learning Course: Deep Dive into Deep Learning

Free Deep Learning Course with Certification

A course by
Srikanth Varma,
Lead DSML Instructor at Scaler

About this Free Deep Learning Course: Deep Dive into Deep Learning

Welcome to our free Deep Learning Course with certification. Designed for beginners, this course offers a comprehensive introduction to the field of deep learning, one of the most exciting and fast-growing areas of artificial intelligence.

Audio: English
Subtitles: English
13h 6m (3 Modules)
3 Challenges
Course Level

What you’ll learn

The skills that you would learn after taking up this Deep Learning Course: Deep Dive into Deep Learning online course are:
  • Understanding of Deep Learning Concepts: You'll gain a comprehensive understanding of key deep learning concepts including neural networks, convolutional neural networks, backpropagation, transfer learning, and generative adversarial networks.
  • Proficiency in Deep Learning Frameworks: You'll gain hands-on experience using popular deep learning frameworks such as TensorFlow and PyTorch, allowing you to build, train, and validate deep learning models.
  • Problem-solving Skills: Through real-world projects, you'll learn how to apply your deep learning knowledge effectively, honing your ability to solve complex problems.
  • Interpretation and Communication of Results: You'll learn to interpret the outputs of deep learning models, understand their implications, and communicate these findings effectively, an important skill in the professional realm.
3 Modules | 51 Lessons | 13h 6m

Certificate for Free Deep Learning Course: Deep Dive into Deep Learning

After successfully completing the course, you’ll be awarded with Certificate Of Excellence from Scaler
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Instructor of this course

Srikanth Varma
Srikanth Varma
Lead DSML Instructor at Scaler
Srikanth Varma
Lead DSML Instructor at Scaler
2000+ Students on Scaler Platform
600+ Hours of Lectures Delivered
5 Star Instructor on Scaler
9 Courses
  • Co-Founder & Principal Instructor, Applied AI & AppliedRoots
  • Senior ML Scientist @ Amazon, Palo Alto and Bangalore
  • Co-Founder, Matherix Labs
  • Research Engineer, Yahoo! Labs
  • Masters from IISc Bangalore, Gate 2007(AIR 2)
  • 13 years of experience in AI and Machine Learning

Pre-requisites for free deep learning certification course

  1. Basic Programming Knowledge: A foundational understanding of any programming language is necessary, with Python being the most commonly used language in machine learning and deep learning.

  2. Understanding of Machine Learning: A basic grasp of machine learning concepts and principles will be beneficial as deep learning is a subset of machine learning.

  3. Mathematics: Knowledge of basic mathematics, specifically in areas like linear algebra, calculus, and statistics, is useful, as these concepts often underpin the mechanisms of deep learning algorithms.

  4. Eagerness to Learn: Deep learning is a complex field. A strong willingness to learn, along with the readiness to invest time and effort, is a crucial prerequisite for this course.

Who should learn this free deep learning course?

  1. Aspiring AI and ML Professionals: Individuals looking to enter the fields of artificial intelligence and machine learning would find this course highly valuable as deep learning is a key subset of these areas.

  2. Software Engineers: Software engineers aiming to broaden their skill set to include AI and machine learning capabilities can benefit significantly from this course.

  3. Data Scientists and Analysts: Professionals in these roles who wish to incorporate deep learning techniques into their data analysis and predictive modeling work should consider this course.

  4. Researchers and Academics: Scholars and researchers in fields like cognitive science, computer science, and artificial intelligence can use this course to deepen their understanding of deep learning for cutting-edge research and development.

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