Courses

Data Privacy Solutions Engineer Course, Privacy Governance, Risk Management, Data Lifecycle, Data Manager Course What you'll learn: Understand the importance of risk management in privacy governance.Apply strategies to enhance privacy protection through risk assessment and mitigation.Foster collaboration between privacy and cybersecurity teams.Develop integrated solutions to address privacy and cybersecurity challenges.Create meaningful privacy metrics for evaluating program effectiveness.Develop clear reporting mechanisms to communicate privacy achievements and improvements.Design privacy-focused architectures to protect data in interconnected environments.Implement technologies and practices that ensure data security and privacy.Learn to manage data privacy considerations throughout its lifecycle.Apply a holistic approach to privacy management, from data collection to disposal. Data Privacy Solutions Engineer - 101 Course - Your Gateway to Becoming a Data Privacy Solutions EngineerIn today's data-driven world, protecting sensitive information and ensuring data privacy has never been more critical. With the ever-increasing number of data breaches and regulatory requirements, organizations are actively seeking professionals who can bridge the gap between data privacy and technology. In this 101 exam preparation course, we will explore Data Privacy Solutions Engineer Certification syllabus and topics explaining and how it can be your gateway to becoming a certified expert in data privacy solutions.The Data Privacy Solutions Engineer Certification Course 101 credential is for professionals who wish to build a career at the intersection of data privacy and technology. Data Privacy Solutions Engineer Certification Course 101 focuses on the practical application of data privacy solutions, making it a valuable credential for anyone involved in securing and managing sensitive data.Data privacy professionals are in high demand across various industries. Holding a Data Privacy Solutions Engineer Certification Course 101 certification exam preparation course will set you apart in the job market and open up numerous career opportunities.With the ever-evolving data protection regulations, organizations need experts who can ensure compliance. Data Privacy Solutions Engineer Certification Course 101 provides the skills to navigate these complex laws effectively. The course equips you with a holistic understanding of data privacy, covering not only compliance but also the technical and operational aspects of data protection. Data Privacy Solutions Engineer Certification Course 101 connects you to a vast network of data privacy and technology professionals worldwide.Data Privacy Solutions Engineer Certification Course 101 is a valuable certification preparation course for a wide range of professionals, including:· IT and security professionals· Data privacy officers and managers· Compliance officers· Data analysts and engineers· Legal and audit professionals· Anyone interested in a career in data privacyThe Data Privacy Solutions Engineer Certification Course 101 is a golden opportunity for individuals looking to excel in the field of data privacy solutions. As organizations continue to grapple with data privacy challenges, Data Privacy Solutions Engineer Certification Course 101 will be at the forefront of ensuring data protection, compliance, and innovation.By enrolling in Data Privacy Solutions Engineer Certification Course 101, you're taking the first step toward becoming a sought-after expert in data privacy solutions. It's not just a course; it's a career investment that will open doors to a world of opportunities and help you make a significant impact in the data privacy landscape. So, are you ready to embark on this exciting journey to become a Certified Data Privacy Solutions Engineer? Your path to success starts here!In this 101 course, I would like to teach the 5 major topics and 1 practice test:1. Enhancing Privacy Governance through Effective Risk Management2. Collaborative Privacy Practices: Bridging the Gap Between Privacy and Cybersecurity3. Measuring Privacy Success: Metrics and Reporting in Privacy Governance4. Designing a Robust Privacy Architecture: Safeguarding Data in a Connected World5. Navigating the Data Lifecycle: A Comprehensive Approach to Privacy Management" &Practice testTo pass of this practice test course, you must score at least 70% on the practice test.In every question, I explained why the answer is correct!Good Luck ! & Thank you once again !

Master the Art of Sales and Technology to Drive Business Success as a Sales Engineer and Solutions Engineer What you'll learn: Feel confident preparing for a discovery call & sales demoUnderstand the sales process and how to master itReview basic technical concepts to understand industry trendsMaster interview responses to land your first technical sales positionDevelop a successful resume and Linkedin profile to improve your chance of an interviewShadow real interview responses and live demos of sales engineering The Sales Engineer and Solutions Engineer: Sales & Tech Training course is designed to equip individuals with the necessary knowledge and skills to become successful sales engineers in the technology industry. This comprehensive course covers a wide range of topics, including sales, engineering, and technical skills, to prepare learners for the diverse responsibilities of a sales engineer.Through this course, you will gain an understanding of the role of a sales engineer and the importance of effective communication, problem-solving, and technical expertise in the field. You will also learn about the sales process and how to leverage technical knowledge to identify customer needs and develop effective solutions.In addition, this course provides an overview of various technologies, including cloud computing, APIs, and cybersecurity, and how they can be used to meet customer needs. Throughout the course, you will have access to practical exercises that will enable you to apply the concepts you have learned to real-world scenarios. By the end of this course, you will have developed the skills and knowledge required to become a successful sales engineer and solutions engineer in the technology industry.So, if you are interested in pursuing a career as a sales engineer, this Sales Engineer and Solutions Engineer: Sales & Tech Training course is the perfect starting point for you. Enroll now and take the first step toward a rewarding career in the tech industry!

Explore the inner strength required to repair broken pipelines and discover the ethos behind the Association of Black Engineers in this insightful talk by Professor Ollie Folayan. Drawing from personal experiences, Folayan delves into the importance and necessity of the organization, offering valuable perspectives on addressing common problems in engineering. Gain a deeper understanding of the challenges faced by Black engineers and the solutions being developed to overcome them in this hour-long presentation from Imperial College London.

In this course, Azure AI Engineer Associate (AI-102): Computer Vision Solutions, you’ll learn to utilize all the vision capabilities of Azure for your data. First, you’ll explore how to apply AI to your images including classification and text extraction. Next, you’ll discover how to train your own model for enhanced image abilities. Finally, you’ll learn how to bring AI abilities to video media. When you’re finished with this course, you’ll have the skills and knowledge of computer vision AI abilities needed to light up new knowledge and capabilities for your custom applications.

Deploying and configuring AI solutions in Microsoft Azure to support business outcomes requires in-depth knowledge about the range of service and options available in Azure, as well as a foundational knowledge of what an AI solution actually is. AI solutions in Microsoft Azure consist of a number of independent resources and services working together holistically to produce a complex solution. In this course, Microsoft Azure AI Engineer: Deploying AI Solutions in Microsoft Azure, you’ll gain an understanding of the nature of AI solutions in order to be able to recommend the right services and configuration options which will enable the work of data scientists and ensure that business investment in AI is both fit-for-purpose and well maintained. First, you’ll look at the core nature of AI solutions and how these are represented by solution architectures in Microsoft Azure. Then, you’ll work on the different scenarios to provide the computing services which data scientists need to build, train, and deploy AI models, including understanding the operational frameworks of monitoring, security, and zero-trust architecture. Finally, you’ll bring everything together by deploying an AI model in a container-based solution using IoT Edge. By the end of this course, you’ll have a thorough understanding of how AI solutions in Microsoft Azure are put together, and how you, as an AI Engineer, can influence the architecture, configuration, and deployment of these solutions to support a wide range of business and technical outcomes.

Learn how to implement computer vision solutions in Azure AI and prepare for the Azure AI Engineer Associate (AI-102) exam.

Explore the journey of a 160-year-old financial services company into the world of open-source software through this insightful conference talk. Discover the benefits and challenges of implementing open-source technology, including security, ethical, legal, and compliance implications. Learn how Northwestern Mutual overcame institutional hurdles and transformed their approach to building and using open-source technology through education, collaboration, and critical thinking. Gain valuable insights from both legal and technological perspectives as the speakers break down the process of modernizing a company's perspective on open source. Understand the importance of formal open-source management programs and creative collaboration between engineers and lawyers in navigating the open-source landscape.

Begin your preparations for the Google Associate Cloud Engineer exam by learning about the Google Cloud Platform and how to set up projects and accounts.

Learn about monitoring, optimizing, and maintaining ML solutions in preparation for the Google Professional Machine Learning Engineer certification exam.

Explore solutions for managing large engineering teams in this RailsConf 2022 talk presented by Noel Rappin, David Trejo, Brian Lesperance, and Chris Dwan from Chime. Discover strategies to overcome challenges that arise when scaling development teams, including communication, coordination, and maintaining code quality. Learn from the speakers' experiences and gain insights into effective practices for optimizing productivity and collaboration in big team environments.

Explore a comprehensive 9-hour course on partial differential equations tailored for engineers. Delve into application-oriented problems, generalized 3D problems, and coordinate systems including spherical polar and cylindrical. Master solutions for hyperbolic, elliptical, and parabolic PDEs, with focus on multi-dimensional scenarios. Learn separation of variables in rectangular coordinate systems, properties of adjoint operators, and the generalized Sturm-Liouville problem. Understand the principle of linear superposition, PDE classification, and gain a solid introduction to partial differential equations.

Learn about project governance as a solution architect.In this module, you will: Learn about the solution architect’s role in project governance. Identify techniques for keeping a project on track. Explore scenarios that could cause a project to fail. Explore the role of solution architects in designing Power Platform-based solutions, emphasizing understanding its architecture.In this module, you will: Review the key Power Platform architecture components. Explore how the platform's design and limits can influence solution architectures. Review how to communicate with the customer on how the platform can meet their needs. Explore the architecture of Microsoft Power Apps.In this module, you will: Explore options for apps and how to choose where to start. Explore app composition options. Learn how to use components as part of your app architecture. Discover when to include Power Apps portals as an app in your architecture. Explore the architecture of Microsoft Power Automate.In this module, you will: Review options for automation and custom logic. Review considerations for using triggers and common actions. Explore how to use business process flows to guide users through business processes. Learn how Microsoft Copilot Studio is used in solutions.In this module, you will: Explore options for agents and how to choose where to start. Explore scenarios for agents. Learn about the components of Microsoft Copilot Studio. Learn about Microsoft Power Automate for desktop and its capabilities.In this module, you will: Explore options for automation and how to choose where to start. Explore scenarios for Power Automate for desktop. Learn about the components for running Power Automate for desktop flows. Explore the role of solution architects in data modeling for Power Platform, including data types and relationships.In this module, you will: Learn about data modeling influencers. Discover various data model strategies. Learn about data types and data relationships. Lean about security functionality within Microsoft Dataverse.In this module, you will: Discover the solution architect’s role in security modeling. Learn how to control access to environments and resources. Learn how to control access to data in Dataverse. Learn about reporting and analytics in Microsoft Power Platform.In this module, you will: Discover the planning and evaluating requirements. Learn about operational reporting. Review the capabilities of Microsoft Power BI and how to use it with Power Platform components. Learn how to use pre-built insights and custom AI. Learn how to implement integrations in Microsoft Power Platform solutions.In this module, you will: Learn about the solution architect’s role in integrations. Learn about integration and why it's necessary. Discover Power Platform features that help enable integration. Use the capabilities of Microsoft Azure. Solution architects for Microsoft Power Platform need to define the environment strategy and application lifecycle management (ALM) for transporting work from development to test to production.In this module, you will: Learn about Microsoft's vision and the solution architect’s role in ALM. Review environment strategies. Define a solution structure for your deliverables. The solution architect role is continuous; they must also deploy the solution.In this module, you will: Review the solution architect’s role with testing and go-live. Learn about the data migration process and deployment. Learn about the testing process. Discover how to plan for go-live.

When planning out architectures in Azure the networking can be confusing. In this course, Microsoft Azure Solutions Architect: Design a Network Solution, you’ll learn how to effectively architect a network solution in Azure. First, you’ll explore the core components of a virtual network and its properties. Next, you’ll discover how to enable connectivity to on-premises locations. Finally, you’ll learn how to secure the network. When you’re finished with this course, you’ll have the skills and knowledge of Azure networking needed to architect a complete, secure, hybrid connectivity solution.

The number of compute offerings available in Azure can be intimidating and cause a pause in cloud architectures. In this course, Microsoft Azure Solutions Architect: Design a Compute Solution, you’ll learn to select the right compute offering for your compute requirements. First, you’ll explore the core compute offerings available. Next, you’ll discover the various options to provision and configure the services. Finally, you’ll learn how to leverage the latest container orchestration technologies. When you’re finished with this course, you’ll have the skills and knowledge of compute offerings in Azure needed to architect the best possible Azure solution.

Prepare for the Google Cloud Professional Data Engineer certification exam’s fourth section, which focuses on ensuring solution quality.

Build the skills needed to outsmart cyber threats. This Nanodegree teaches you how to secure infrastructure, assess vulnerabilities, and apply top industry practices to protect your organization from digital attacks.

The Empathetic Engineer is a course that will enhance your capacity to harness your technology and problem-solving skills to deliver high impact, innovative solutions that address compelling social and environmental needs. It is a course that puts people, planet and nature at its core, enabling you to generate new levels of value for the markets or communities you serve, without compromising our world today or in the future. There has never been a more exciting time for engineers to make an impact at scale. We have a perfect storm of need and technological capability. We have the immense challenge of climate change, alongside a desperate need to create a more sustainable and equitable model of consumption and production. But we are also at the top of a wave of innovation, the likes of which have not been seen for around 120 years, where many distinct areas of technological progress are transforming our capacity to address the immense challenges we face. The challenges we face are systemic and our responses must be, too. Week by week, the course will take you through the 6 phases of the process we use, from first scoping a challenge you want to focus upon, researching it, drawing on those insights to generate a clear set of goals and ambitions, igniting your creative capacity to develop novel and exciting concepts, selecting, testing and refining them along with the business model before implementing an innovative solution, that addresses a compelling need. At the end of the course, you should be able to: Demonstrate theoretical and practical understanding of the different stages of the empathetic engineering approach in the context of engineering design projects. Analyse the socio-cultural, environmental, and economic factors that need to be considered in the given context. Apply the principles, methods and tools to an engineering design project to deliver more effective and measurable outcomes. Optionally, develop a project proposal that spans technological, socio-cultural, environmental and economic systems, including how the proposal creates and captures value for each of the relevant stakeholders. That is our goal, and we look forward to going on this journey together.

As AI continues to reshape industries, demand is rising for professionals who can develop intelligent solutions that integrate seamlessly into cloud-based platforms. The AI Engineer program, developed by Microsoft and hosted on edX, equips learners with the technical knowledge and practical skills to build and deploy AI solutions using Azure AI services. Across three in-depth courses, you’ll begin with an introduction to Azure’s AI capabilities and progress to more advanced applications, including natural language processing, computer vision, and knowledge mining. You’ll also learn how to use services such as Azure OpenAI, Cognitive Services, and Azure Machine Learning to build enterprise-grade AI solutions. This program is ideal for software developers, cloud engineers, and data professionals looking to deepen their expertise in cloud-based AI. With hands-on labs, real-world use cases, and a focus on responsible AI design, this program sets you up for success in AI engineering roles and serves as a strong foundation for Azure AI certification paths.

The Data Engineer program prepares you for one of the most in-demand roles in modern data infrastructure. Developed by Microsoft, this comprehensive program teaches you how to design, implement, and manage data solutions in the cloud using Azure Synapse Analytics, Apache Spark, and Azure Stream Analytics. You’ll gain hands-on experience building serverless SQL queries, performing large-scale data transformations, integrating hybrid transactional and analytical processing (HTAP), and implementing real-time streaming solutions. Whether you're transitioning into data engineering or looking to deepen your expertise in Azure's data ecosystem, this program provides the technical foundation and practical skills to support enterprise-grade data solutions.

This program focuses on demonstrating your ability to build functional and effective applications, showcasing your skills and knowledge throughout the application development process. Emphasis is placed on practically applying learned concepts to real-world scenarios, validating your competence in app development. You will gain a comprehensive understanding of securing core cloud infrastructure across network, compute, storage, and database components. Learn fundamental network security principles, including implementing controls, managing traffic, deploying firewalls, configuring secure virtual networks, and using segmentation to protect resources. Explore tools and services to monitor and defend against threats, enabling you to design and maintain a secure network architecture. Additionally, you will delve into securing virtual machines, data at rest and in transit, and databases using best practices such as access control, encryption, and threat mitigation. Acquire the knowledge and hands-on skills necessary to manage and enhance an organization's security operations. This course covers key principles like risk assessment, incident response, and the strategic use of security technologies. You will learn how to monitor security events, analyze threats, and ensure compliance with industry standards. With a strong focus on real-world application, this course provides a solid foundation for effectively leading or supporting security operations.