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DeepLearning.AI

Deep Learning Specialization

  • up to 6 months
  • Intermediate

The Deep Learning Specialization is a foundational online program by machine learning pioneer Andrew Ng. It introduces practical techniques to help you get started on your AI projects and develop an industry portfolio.

  • Neural Networks
  • Deep Learning
  • Hyperparameter Tuning
  • Convolutional Neural Networks
  • Sequence Models

Overview

In this specialization, you will learn the foundational concepts of deep learning, build and train neural networks, and apply them to various AI tasks. The program covers neural networks, hyperparameter tuning, convolutional networks, sequence models, and more. By the end, you will have the skills to build and apply deep learning models to real-world problems.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Aspiring AI Professionals

Individuals looking to build a career in AI and machine learning.

Data Scientists

Professionals seeking to deepen their understanding of deep learning techniques.

Software Engineers

Engineers aiming to transition into roles involving AI and deep learning.

The Deep Learning Specialization offers clear, concise modules for self-paced learning, practical techniques for AI projects, and a supportive community. It covers foundational concepts and advanced techniques, making it ideal for aspiring AI professionals, data scientists, and software engineers.

Pre-Requisites

1 / 3

  • Basic knowledge of machine learning

  • Familiarity with Python programming

  • Understanding of linear algebra and calculus

What will you learn?

Neural Networks and Deep Learning
Study the foundational concept of neural networks and deep learning. Build, train, and apply fully connected deep neural networks.
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
Open the deep learning black box to understand the processes that drive performance. Learn best practices for training and developing test sets.
Structuring Machine Learning Projects
Learn how to build a successful machine learning project and practice decision-making as a machine learning project leader.
Convolutional Neural Networks
Understand how computer vision has evolved and become familiar with its applications. Build convolutional neural networks and apply them to visual detection and recognition tasks.
Sequence Models
Become familiar with sequence models and their applications. Build and train Recurrent Neural Networks (RNNs) and apply them to NLP tasks.

What learners say about this course

  • “After completing the Deep Learning Specialization, I got two promotions and an award and was able to work with the R&D team at work. I also got the opportunity to teach undergrad engineering students. These experiences, starting with DLS, have molded my career.”

    Sharob Sinha

    Learning Technologist, DeepLearning.AI

  • “I decided to try to understand this thing called AI that everyone was talking about and ended up doing the Deep Learning Specialization. I truly believe that this program should be given to senior students at universities as they’d get a valuable picture.”

    Jose Ramirez

    Assistant Professor, Yachay Tech

  • “The Deep Learning Specialization helped me build the fundamental knowledge as well as practical applications of deep learning. I think the Deep Learning Specialization is a great starting point if someone wants to get into the field.”

    Wonjin Kim

    Researcher

Meet your instructors

  • Andrew Ng

    Founder, DeepLearning.AI

    Andrew Ng is a founding member of DeepLearning.AI. He is also the founder and CEO of Landing AI, and a managing general partner of AI Fund.

  • Kian Katanforoosh

    CEO & Founder, Workera

    A French-born Iranian who immigrated to Silicon Valley to pursue his passion. He founded Workera, a workforce transformation platform that leverages AI to assist organizations in identifying their **WHAT** and **HOW** learning needs. He received the Walter J. Gores Award, Stanford's highest teaching honor, and is a Forbes 30 under 30 honoree in both Education and All Stars categories.

  • Younes Bensouda Mourri

    Instructor, DeepLearning.AI

    Younes Bensouda Mourri is an instructor at DeepLearning.AI, an online education platform specializing in artificial intelligence and deep learning.

Upcoming cohorts

  • Dates

    start now

$49