Is your company prepared to excel in the ever-evolving technological world? As new technologies emerge and old methods change, workforce need to stay informed and ahead of the curve. This digital transformation list is designed to help you do just that. The following courses will prepare you to utilize the digital resources around you to their fullest potential and implement organization-wide change.
Deep learning (DL) is used across a broad range of industries as the fundamental driver of AI. Being able to apply deep learning with Java will be a vital and valuable skill, not only within the tech world but also the wider global economy, which depends upon solving problems with higher accuracy and much more predictability than other AI techniques could provide.
This step-by-step, practical tutorial teaches you how to implement key concepts and adopts a hands-on approach to key algorithms to help you develop a greater understanding of deep learning. You will learn how to use the DL4J library and apply deep learning to a range of real-world use cases. This course will also help you solve challenging problems in image processing, speech recognition, and natural language modeling; it will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights.
By the end of this course, you'll be ready to tackle deep learning with Java. Whether you come from a data science background or are a Java developer, you will become part of the deep learning revolution!
The code bundle for this course is available at https://github.com/PacktPublishing/Deep-Learning-with-JavaCOURSE OBJECTIVES
Deep Learning has caused the revival of Artificial Intelligence. It has become the dominant method for speech recognition (Google Assistant), computer vision (search for ""my pictures"" on Google Photos), language translation, and even game-related Artificial Intelligence (think AlphaGo and DeepMind). If you'd like to learn how these systems work and maybe make your own, Deep Learning is for you!
In this course, you’ll gain a solid understanding of Deep Learning models and use Deep Learning techniques to solve business and other real-world problems to make predictions quickly and easily. You’ll learn various Deep Learning approaches such as CNN, RNN, and LSTM and implement them with TensorFlow 2.0. You’ll program a model to classify breast cancer, predict stock market prices, process text as part of Natural Language Processing (NLP), and more.
By the end of this course, you’ll have a complete understanding to use the power of TensorFlow 2.0 to train Deep Learning models of varying complexities, without any hassle.
All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Implementing-Deep-Learning-Algorithms-with-TensorFlow-2.0
- Understand what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve
- Study the various Deep Learning model architectures and work with them
- Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification
- Predicting stock market data for Google
- Classifying Reuters news topics, and classifying flower species
- Apply your newly-acquired skills to a wide array of practical and real-world scenarios
Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use. Python is a general-purpose programming language. Created nearly 30 years ago, it is now one of the most popular languages out there to use. Its popularity is particularly important in the data science and machine learning fields. But it is also a language that is easy to learn, and that’s why it has become the language most taught in universities.
Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. Python has a simple syntax that makes it suitable for learning to program as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C++ that require understanding pointers. Still, it's possible to learn about OOP or functional programming in Python when the time comes.
This course will help you identify potential cyber threats, including malware, phishing and session hijacking, and take important steps to protect your company's valuable information. Cyber-crime syndicates, along with the prevalence of mobile and cloud-based computing trends, have increased the risk of security breaches for all organizations. In this course, you will learn how to control physical access to your company’s computers and develop best practices for preserving your information assets. You will also examine the ways in which humans pose risks to information security. By the end of this course, you will gain effective strategies for protecting passwords, working with contractors and using encryption to safely access data on mobile devices. This brief video course includes audio narration, exercises, a final quiz, and an ask-a-mentor email feature for a complete learning experience.
- Identify potential cyber security breaches and demonstrate appropriate caution
- Control physical access to computers and apply best security practices to protect information
- Develop methods for protecting sensitive data on mobile devices
Microsoft focuses on three broad topics, with various subtopics under those headings. Implement Windows, Configure and Support Core Services and Manage and Maintain Windows are the three broad topics. This video series will take you through each topic covered in the online outline from Microsoft’s website. Candidates for this exam are IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services.
This course will teach students how to manage their Azure subscriptions, create and scale virtual machines, implement storage solutions, configure virtual networking, back up and share data, connect Azure and on-premises sites, manage network traffic, implement Azure Active Directory, secure identities, and monitor your solution.Course Objectives
How to manage their Azure subscriptions;
Create and scale virtual machines;
Implement storage solutions;Configure virtual networking;
Back up and share data;Connect Azure and on-premises sites;
Manage network traffic;Implement Azure Active Directory
This exam is designed for IT professionals who take part in evaluating, planning, deploying, and operating the Office 365 services, including its dependencies, requirements, and supporting technologies. Users will receive certificate of completion upon passing the course with an 80% or better.
Geared to IT professionals, this course will help to prepare you for the Microsoft 70-346 exam, which covers administration and management of Office 365 services. In it, we'll cover topics including deployment and administration of Office 365, client management, planning and configuring DNS and Exchange migrations, SharePoint and Lync online. We'll also teach you about domain integration and synchronization services and tools, as well as how to perform ongoing monitoring in Office 365.
This course will enable you to successfully pass the Microsoft Managing Office 365 Identities and Requirements exam (70-346). You'll gain the expertise to successfully plan, deploy and manage Office 365 services in your organization.
Prepare for and execute Office 365 deployments;Utilize administration tools and manage various types of clients;Plan and configure DNS and Exchange migrations, SharePoint and Lync online;Use domain integration and synchronization services and tools;Perform ongoing monitoring in Office 365 for your organization
This course is designed to give users a tour and understanding of the administrative capabilities in Office 365. In this course, we will cover the interface, setting up a trial, navigating the Admin Center, working with users, working with groups, and various other topics related to Office 365 administration. Additionally, Azure rights management, deployment of Office 365 Pro Plus, monitoring of Office 365, custom domains, Hybrid Active Directory, Exchange administration, SharePoint Online, Skype for Business, and Yammer will be covered.
This course will cover topics from the Microsoft MS-101 exam, which measures a student’s ability to accomplish the following technical and administrative tasks: Identify threat vectors; use Secure Score; configure Azure Identity Protection; configure Exchange online protection; implement modern device services; implement Microsoft 365 security and threat management; and manage Microsoft 365 governance and compliance.
This course will cover topics from the Microsoft MS-100 exam, which measures a student's ability to design and implement Microsoft 365 services, manage user identity and roles, manage access and authentication, and plan Office 365 workloads and applications. In this course, students will review how to configure Exchange Online and SharePoint Online, how to work with Office Pro Plus, and how to migrate to Office 365. Students will also learn how to configure Microsoft 365 Tenant, how to manage user and security groups and licenses, and how to use authentication in 365.
The Microsoft Technology Associate (MTA) is Microsoft’s newest suite of technology certification exams that validate fundamental knowledge needed to begin building a career using Microsoft technologies. This program provides an appropriate entry point to a future career in technology and assumes some hands-on experience or training but does not assume on-the-job experience. This course focuses on Microsoft Security Fundamentals and which will provide you with the knowledge to pass the MTA 98-367 exam offered by Microsoft.
The Microsoft Technology Associate (MTA) is Microsoft’s newest suite of technology certification exams that validate fundamental knowledge needed to begin building a career using Microsoft technologies. This program provides an appropriate entry point to a future career in technology and assumes some hands-on experience or training but does not assume on-the-job experience. This course focuses on Microsoft Network Fundamentals and which will provide you with the knowledge to pass the MTA 98-366 exam offered by Microsoft.