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DeepLearning.AI TensorFlow Developer Professional Certificate

What you'll learn

• Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications.
• Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout.
• Build natural language processing systems using TensorFlow.
• Apply RNNs, GRUs, and LSTMs as you train them using text repositories.

Professional Certificate - 4 course series

Earn a career credential that demonstrates your expertise

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4.7

(20,444 reviews)

Intermediate level

No previous experience necessary

4 months at 5 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

• Category: Computer Vision
  Computer Vision
• Category: Convolutional Neural Network
  Convolutional Neural Network
• Category: Machine Learning
  Machine Learning
• Category: Natural Language Processing
  Natural Language Processing

Advance your career with in-demand skills

• Receive professional-level training from DeepLearning.AI
• Demonstrate your technical proficiency
• Earn an employer-recognized certificate from DeepLearning.AI
• Prepare for an industry certification exam

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Programming in Python

About this Course

659,675 recent views

In this course, you will be introduced to foundational programming skills with basic Python Syntax. You’ll learn how to use code to solve problems. You’ll dive deep into the Python ecosystem and learn popular modules, libraries and tools for Python.

You’ll also get hands-on with objects, classes and methods in Python, and utilize variables, data types, control flow and loops, functions and data structures. You’ll learn how to recognize and handle errors and you’ll write unit tests for your Python code and practice test-driven development. By the end of this course, you will be able to: • Prepare your computer system for Python programming • Show understanding of Python syntax and how to control the flow of code • Demonstrate knowledge of how to handle errors and exceptions • Explain object-oriented programming and the major concepts associated with it • Explain the importance of testing in Python, and when to apply particular methods This is a beginner course for learners who would like to prepare themselves for a career in back-end development or database engineering. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.

This course is part of multiple programs

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

• Meta Back-End Developer Professional Certificate
• Meta Database Engineer Professional Certificate

SKILLS YOU WILL GAIN

• Cloud Hosting
• Application Programming Interfaces (API)
• Python Programming
• Computer Programming
• Django (Web Framework)

WHAT YOU WILL LEARN

• Foundational programming skills with basic Python Syntax.

• How to use objects, classes and methods.

Syllabus - What you will learn from this course

Content Rating93%(10,610 ratings)

WEEK1

8 hours to complete

Getting started with Python

Get started with the Python programming language and associated foundational concepts.

19 videos (Total 89 min), 17 readings, 4 quizzes

WEEK2

10 hours to complete

Basic Programming with Python

Learn basic Python syntax, to use control flow and loops and work with functions and data structures. You will also learn how to recognise possible errors, their causes and how to handle them.

13 videos (Total 58 min), 9 readings, 7 quizzes

WEEK3

15 hours to complete

Programming paradigms

Learn about the paradigms of procedural programming and the associated logical concepts. You'll explore functional and object-oriented programming, and get an introduction to algorithms.

16 videos (Total 75 min), 19 readings, 11 quizzes

WEEK4

10 hours to complete

Modules, packages, libraries and tools

Supercharge your coding environment with popular modules libraries and tools for Python. You'll also learn about the different types of testing and how to write a test.

17 videos (Total 73 min), 7 readings, 6 quizzes

• WEEK5

  1 hour to complete

  End-of-Course Graded Assessment

  Practice and reflect on the skills you learned in this course.

  2 videos (Total 4 min), 2 readings, 1 quiz