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Udacity Machine Learning Nanodegree

Udacity AWS Machine Learning Engineer Nanodegree

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Udacity Machine Learning Nanodegree

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With the Udacity Machine Learning Nanodegree, you’ll be able to build your career with a focus on machine learning. It will equip you with the job-ready skills to understand how machine learning works, and then apply it to real-world problems.

You will be able to develop cutting-edge skills that can be used in a wide range of professions. Then, gain the knowledge and expertise you need to build machine learning solutions and stay on top of the competition.

Skills Acquired

  • Machine Learning
  • AWS SageMaker Studios
  • ML Workflows and Pipelines
  • Deep Learning Topics
  • Computer Vision and NLP
  • Operationalization
  • Convolutional Neural Networks

Learn the skills that will help you succeed in the rapidly expanding field of machine learning. The Udacity AWS Machine Learning Engineer Nanodegree will teach you the skills you need to enter the booming field of machine learning. You’ll start your journey by learning how to program with an introduction and then move on to advanced concepts such as machine learning algorithms, deep learning, and computer vision.

Our Review

4.8 Ranked #1 in Machine Learning Courses

Key Features

  • Course content is in collaboration with AWS
  • Receive 4 real-world projects to showcase on your CV/resume
  • Obtain personalized project feedback from experienced reviewers
Student

Pros/Cons

Here are some of the advantages and disadvantages of the Udacity Machine Learning Nanodegree.

  • Opportunity For Career Growth And Higher Pay Scales: You are given exposure to understanding machine learning from diverse fields giving you higher chances of getting jobs with higher pay scales.
  • Access to Expertise: You will be able to gain valuable insights and advice from industry experts who can help you develop your skills in design thinking and machine learning pipeline development.
  • Learn From Experts at Udacity: Professional instructors and mentors are ready to give you the skills that matter to become a machine learning engineer.

Course Material

The AWS Machine Learning Engineer Nanodegree is designed for anyone interested in learning about machine learning and how it can be applied to a variety of industries. Get a job in machine learning, develop a market-ready skill set, and use machine learning to accelerate your career.

  1. Introduction to Machine Learning – In this course, you’ll get a full introduction to machine learning. First, you’ll start by exploring data and different machine learning concepts. Next, you’ll move on to creating workflows and hyperparameter tuning. Finally, you’ll build a highly sophisticated machine learning model with AutoGluon.
  2. Developing Your First ML Workflow – If you want to understand how Machine Learning (ML) works, this course is for you. By the end of this course, you will be able to create your own ML Workflow on AWS and gain skills in working with Lambda and Step Functions.
  3. Deep Learning Topics within Computer Vision and NLP – A practical and comprehensive introduction to the basics of deep learning. The focus is on computer vision and natural language processing. Learn how to train, finetune, and deploy deep learning models.
  4. Operationalizing Machine Learning Projects on SageMaker – Increase the effectiveness of your machine learning project with this in-depth course. Gain the knowledge required to deploy machine learning projects on SageMaker that are scalable, robust, and secure.
  5. Capstone Project: Inventory Monitoring at Distribution Centers – First, students will learn how to use AWS Sagemaker and best practices. Secondly, they will learn to fetch data from a database, preprocess the data, and identify patterns in the data. Finally, students will learn how to build and implement a model for predicting the number of objects in a bin.

The Udacity AWS Machine Learning Engineer Nanodegree is an immersive program designed for people who want professional-level skills and a career in machine learning. Develop your own machine learning models, build, deploy and optimize them and then apply them to real-world problems.

Video: Machine Learning Nanodegree

Course Projects

Master the job-ready skills that will take your career to new heights. The AWS Machine Learning Engineer Nanodegree will teach you the skills you will need for a career in machine learning, with a specialization in Amazon Web Services.

  • Predict Bike Sharing Demand with AutoGluon – Students will learn how to effectively use machine learning to create a predictive model for Bike Sharing demand.
  • Build an ML Workflow on SageMaker – This course is designed for students who want to learn about building an ML Workflow on SageMaker.
  • Image Classification using AWS SageMaker – Students will learn more about advanced ML skills in image classification and be prepared for real-world use of machine learning.
  • Operationalizing an AWS ML Project – This project will give students the opportunity to learn computer vision and how to deploy a machine learning project on AWS.
The Udacity AWS Machine Learning Engineer Nanodegree provides you with the skills and knowledge needed to get a job as a machine learning engineer. It will teach you the tools and techniques you need to build your own predictive models, algorithm, and machine learning products.

Related Nanodegrees

  • PREREQUISITES: This nanodegree program requires basic knowledge of machine learning and Python programming experience.

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User Reviews

Thorough program with lots of detail

Rated 4 out of 5
April 1, 2022

I took this nanodegree a couple years ago and ML covers regression, classification, clustering, dimensionality reduction, deep learning, and reinforcement learning. Thought it was good and got into quite a bit of detail. But sometimes you were left in the dark to figure out some if it on your own.

Lloyd