7 Courses and Certifications

Udacity Machine Learning Courses & Certifications

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Machine Learning for Trading

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Certificate

Machine Learning for Trading

The Machine Learning for Trading program will introduce you to the real-world challenges people face while implementing machine learning-based trading strategies. These strategies include algorithm steps for information gathering to preparing orders.

The Machine Learning for Trading course will familiarise you with applying probabilistic approaches to Machine Learning to trading decisions. The course will cover topics including trade signal generation and asset management, among others. You will learn how to apply statistical approaches like KNN, Regression Trees, and Linear Regression to actual stock trading situations.

The Machine Learning for Trading course is a four-month course by Udacity along with Georgia Tech. It is aimed at helping you complete real-world projects designed by industry experts. You are sure to master AI Algorithms for building a career-ready portfolio and excelling in trade. Most importantly, the course is free.

Arpan Chakraborty and Tucker Balch will be the instructors for the Machine Learning for Trading online programme.

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4 Months
Intermediate
Free
Skills Covered:
Knowledge of Python Application of ML Algorithms

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Certificate

Machine Learning DevOps Engineer

The Machine Learning DevOps Engineer Live Course is a specialized course that introduces learners to the advanced concepts and techniques of machine learning. The course allows learners to interact with industry experts and engage in the creation of real-world projects all the while providing technical mentor support.

Machine Learning DevOps Engineer Certification by Udacity follows a flexible learning structure and can be completed within 4 months. The course will assist learners in building a DevOps skillset required for a future career in machine learning.

All candidates enrolling in the Machine Learning DevOps Engineer Training will receive expert career services and personalized feedback from industry experts.

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4 Months
22,849
Skills Covered:
Software development skills Machine learning

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Certificate

Intro to Machine Learning with PyTorch

The Intro to Machine Learning with PyTorch certification course is an online self-paced programme designed for candidates who have a keen interest to learn new ideas in the field of technology. The demand for Machine Learning engineers is higher than the supply. Thus, this course has been curated for those who want to strive and stay firm in the competitive market. This is an online self-paced program by Udacity. 

Candidates will learn, understand, create and implement the most predictive algorithms in the real-time world. The candidate will deal with both supervised and unsupervised learning. They will have a deep understanding of Neural Networks. The course has a high demand because of its portable and dynamic nature.

Additionally, the 3-course projects engaged in this Intro to Machine Learning with PyTorch training will help the participant to develop a detailed and elaborated knowledge of this subject. It will serve as an opportunity to understand the importance of machine learning with PyTorch in detail.

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3 Months
22,849
Skills Covered:
Knowledge of deep learning

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Certificate

Introduction to Machine Learning with Tensorflow

This Introduction to Machine Learning with TensorFlow certification course is to engage the candidate in the techniques of Machine learning with the information related to algorithms in TensorFlow. It helps the learners to understand the concept of Machine learning and its techniques. Jobs related to machine learning are the most emerging and much in-demand jobs in the professional world. 

Such technologies are very much needed and Machine learning is the best way to get into the technology industry. Learners with skills related to this study can easily find themselves competing in this field. It's an easy and fun way to get all the necessary knowledge about this study. 

This Introduction to Machine Learning with TensorFlow training course provides learners with various activities to test their skills and prove their knowledge. Machine learning and its skills can bring so many changes than what actually is available.  Learners with active interest can easily find themselves completing this course easily. 

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3 Months
Intermediate
20,500
Skills Covered:
Knowledge of deep learning

Offered by

Certificate

Machine Learning Engineer for Microsoft Azure

The Machine Learning Engineer for Microsoft Azure online course is designed to deliver the knowledge of Azure Machine Learning over the cloud covering the use and benefits of Machine Learning in the cloud. The course teaches how to manage and choose computer resources to train Machine Learning models for quick and accurate predictive results.

The Machine Learning Engineer for Microsoft Azure syllabus explores training of Machine Learning Models in Azure including supervised model, unsupervised model and Reinforcement model. The program helps to learn using various types of tools in Microsoft Azure to train and deploy a machine learning model for pipeline automation. The nano degree course covers key concepts to analyze data and construct data sets suitable for machine learning.

The Machine Learning Engineer for Microsoft Azure nano degree program in collaboration with Microsoft focuses on Configuring cloud-based machine learning model with the help of Microsoft Azure services and tools, training a model on datasets using Automated Machine Learning and Analyzing the performance of the trained models. The Course covers in-depth knowledge of shipping machine learning models into production.

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3 Months
22,849
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning Automation skills Machine learning Knowledge of cloud computing

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Certificate

Introduction to Machine Learning Course

The Introduction to Machine Learning Course is a free programme of ten weeks. This particular course is a part of the Data Analyst Nanodegree. The candidate can opt for that course after the completion of this one. The Introduction to Machine Learning Course provided is of the intermediate level. It will teach the end-to-end procedure and functioning of investigating data with the help of the machine learning lens. The course curriculum is based on self-paced learning. The Introduction to Machine Learning Course syllabus contains ten modules in total. The candidate will be given an Introduction to Machine Learning Course at the end of the course completion. The entire course will be taught by the industrial experts, along with complete training for each concept. 

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10 Weeks
Intermediate
Free
Skills Covered:
Machine learning
Unsupervised Learning

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Certificate

Unsupervised Learning

The Unsupervised Learning online course by Udacity aims to educate you on Unsupervised Learning concepts. During the course, you will study and practice a wide range of Unsupervised Learning approaches. These include clustering, information theory, randomised optimisation, transformation and feature selection, etc.

The Unsupervised Learning online programme focuses on how you can utilise Unsupervised Learning methods to discover structure in unlabelled data. You will also learn how to use it for identifying patterns and analyse data. The course provides detailed insights into the best practices and important techniques for Machine Learning.

The programme duration is approximately one month. The Georgia Institute of Technology, USA offers Udacity’s Unsupervised Learning online training. This intermediate-level programme includes rich video content delivered by expert instructors. Moreover, you will learn via interactive quizzes and reading resources. You will also work on a final project to gain practical knowledge of ML.

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4 Weeks
Intermediate
82,000
Skills Covered:
Machine learning

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