4 Courses and Certifications

Udacity Deep Learning Courses & Certifications

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Deep Learning

Today’s digital era has enabled the technologies to flourish exponentially. Computer systems are now able to derive more accurate results by analysing huge amounts of structured as well as unstructured data, commonly known now as ‘big data’. These advancements have assisted companies in reducing risks and identifying more profitable opportunities. The role of deep learning in this technology-driven era has assumed great significance. Deep Learning makes use of algorithms to enable automatic learning through absorption of information and data.

Being a specialized form of machine learning, deep learning enables end-to-end automatic learning using all the relevant features from the data provided. Many big brands and large organisations are extensively making use of deep learning to facilitate automation in their operations. This has led to a rise in demand for deep learning practitioners around the world.

The Deep Learning nanodegree programme course online offered by Udacity will enable you to master fundamentals of deep learning which will aid you in building a career in deep learning as well as pursue in-depth studies in the field of AI. The programme comprises 5 courses and 5 real-world projects to showcase your skills in the deep learning domain. This beginner-friendly nanodegree programme is the perfect way to get started in areas of machine learning and AI.

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4 Months
Intermediate
82,000
Skills Covered:
Knowledge of cloud computing
Reinforcement Learning

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Reinforcement Learning

The Georgia Institute of Technology, USA, offers the Reinforcement Learning online programme by Udacity. This four-month-long course aims to teach you important Reinforcement Learning (RL) concepts. You will study through a blend of recent papers and classic work in the area.

Throughout the Reinforcement Learning online training, you will learn about automated decision-making from the point of view of Computer Science. The course offers in-depth learning content taught by industry professionals. You will learn via interactive quizzes, video lectures and practical exercises.

The Reinforcement Learning syllabus covers a wide range of RL topics comprehensively. These include convergence, generalisation, game theory, Bellman equations, MDP (Markov Decision Process), among others. You will also explore efficient algorithms, multiagent and single-agent planning, and more. 

The Reinforcement Learning course by Udacity also describes Temporal Difference (TD) learning and related concepts. You will also reiterate a result from a published paper in RL at the end of this advanced online programme.

Also Read:
Deep Reinforcement Learning Certification Courses

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4 Months
Expert
Free
Skills Covered:
Machine learning Application of ML Algorithms

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Intro to Deep Learning with PyTorch

There is no doubt that the AI revolution is being driven by deep learning. Machine learning and AI are gaining popularity as it helps make data-driven business decisions. With a deep understanding of AIML, you can take your business to an all-new level.  PyTorch makes it convenient to build applications used for deep learning. The programme will teach you how to build and train deep neural networks using Pytorch. This practical experience would hone your skills to use them in your personal projects. 

Intro to Deep Learning with PyTorch online course explores how to use PyTorch using coding exercises and projects. This will help you implement state-of-the-art AI applications such as text generation and style transfer.  This is a free course that offers instructional videos, interactive quizzes, and self-paced learning. 

Intro to Deep Learning with PyTorch takes about two weeks to complete. This is an intermediate-level course and requires a working knowledge of Python and its libraries Matplotlib and NumPy. The industry experts for this course are a panel of five educators: Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook. 

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2 Months
Intermediate
Free
Skills Covered:
Knowledge of deep learning
Introduction to TensorFlow Lite

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Introduction to TensorFlow Lite

Introduction to TensorFlow Lite Certification teaches how to deploy (DL) deep learning models on mobile and embedded devices with TensorFlow Lite. It includes various programming languages support such as Java, Swift, Objective-C, C++, and Python.

Introduction to TensorFlow Lite Classes is developed by the TensorFlow team and Udacity together as a practical approach to model deployment for software developers. All candidates get hands-on experience with the TensorFlow Lite framework as you deploy deep learning models on Android, iOS, and even an embedded Linux platform. 

By the end of this Introduction to TensorFlow Lite Training, all candidates will have the skills necessary to start deploying their own deep learning models into mobile apps.

Introduction to TensorFlow Lite Certification Course is designed for aspirants who want to learn TensorFlow Lite to execute efficiently on most devices with limited compute and memory resources. All students after completion of classes get Introduction to TensorFlow Lite Certification by Udacity.

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Intermediate
Free
Skills Covered:
Data science knowledge

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