All Engineer courses

Course image
Trajet Lead Engineers I&S
Temporarily unavailable - Soft skills for engineers. Accessible internally following a selection interview.
 
Course image
AI-900: Microsoft Azure AI Fundamentals (ESI)
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
 
Course image
AZ-2007: Accelerate app development by using GitHub Copilot (ESI)
Learn how to accelerate app development by using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment. Prerequisites An active subscription for GitHub Copilot is required for either a personal GitHub account or a GitHub account managed by an organization or enterprise. One or more years of code develop experience is recommended. Some experience developing C# applications in Visual Studio Code with the C# Dev Kit extension is recommended.
 
Course image
GitHub Copilot Fundamentals - Understand the AI pair programmer (ESI)
Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects. In this learning path, you'll: Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise. Understand how to utilize GitHub Copilot across various environments responsibly and securely. Learn advanced functionalities of GitHub Copilot and how to best use them. Prerequisites Basic understanding of GitHub fundamentals
 
Course image
AI-102: Azure AI Engineer (ESI)
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.
 
Course image
AI-3003: Build a natural language processing solution with Azure AI Services (ESI)
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications. Before starting this learning path, you should already have: Familiarity with Azure and the Azure portal. Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
 
Course image
AI-3002: Create document intelligence solutions with Azure AI Document Intelligence (ESI)
In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You'll learn how to: Design a solution that analyzes your business forms by using Azure AI Document Intelligence. Create a solution that analyzes common documents by using Document Intelligence. Create a solution that analyses different custom form types by using Document Intelligence. Include an Azure AI Document Intelligence service as a custom skill in an Azure AI Search pipeline.
 
Course image
Get started with Azure OpenAI Service (ESI)
This module provides engineers with the skills to begin building an Azure OpenAI Service solution. Learning objectives By the end of this module, you'll be able to: Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models. Use the Azure AI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds. Generate completions to prompts and begin to manage model parameters. Prerequisites Familiarity with Azure and the Azure portal. An understanding of generative AI.
 
Course image
AI-3016: Develop generative AI apps in Azure AI Foundry portal (ESI)
Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models with prompt flow to provide value to your users. Prerequisites Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.
 
Course image
Course image
Course image
FinOps Essentials for Cloud Deployments (LinkedIn Learning)
Course duration: 2,2hFinOps sits at the intersection of finance and cloud operations, where cross-functional teamwork is essential for success. When it comes to cloud computing, FinOps managers are responsible for overseeing cloud costs and building teams across engineering, product, finance, and more. In this course, instructor David Linthicum gives an overview of the basics of cloud FinOps, collaborating with ever-changing systems, and how to motivate data-driven financial decision-making to optimize business value. Discover the key objectives and underpinnings of FinOps so you can get ready to start crafting your own plan. Learn how to develop an effective plan for cloud deployment, while ensuring that you include everyone who needs to be involved in the process. Get tips from David on cost optimization, cost analysis and forecasting, important automation considerations, compliance, and governance. Along the way, review core cloud FinOps concepts in action by exploring practical case studies drawn from cloud computing and enterprise management.Topics include: Explain why businesses adopt FinOps. Identify reasons for cloud cost overages rather than savings. Review the various types of clouds and their popularity in business use Describe the goal of using cloud spending optimization technology. Differentiate between various FinOps technology tools. Define organizational roles in FinOps.  This course is in French only. If this is not a problem for you, by all means go ahead and apply.Apply for this course
 
Course image
Learning Path: Getting Started with Linux (LinkedIn Learning)
Course duration: 5,73h As the most widely used OS for servers, Linux is a critical skill for IT pros, DevOps engineers, and developers. This learning path helps you build fundamental Linux skills. From overview and installation to managing files and setting permissions, learn everything you need to get started with Linux. Understand the role Linux plays in technology. Discover how to install Linux in your environment. Explore permissions and access control best practices. Apply for this course
 
Course image
SQL Tips and Tricks for Data Science (LinkedIn Learning)
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists. Ben's tips focus on practical applications of SQL queries for data analysis. Learn how to retrieve data, join tables, calculate rolling averages and rankings, work with dates and times, use window functions, aggregate and filter data, and much more. Each tip is short, relevant, and up to date with current industry best practices—making this the perfect course for busy analysts who normally struggle to find time to build their skills. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course
 
Course image
MS365: Teams
Microsoft offers a number of e-learning videos to support the transition to the new MS Teams. Smals Academy clustered these videos and they are here available for you. The 8 videos cover the following topics:• Teams Quick Start• Work with Microsoft Teams• Planner Quick Start• Collaborate in teams and channels• Intro to Microsoft Teams• Manage Meetings• Teams on the go• Set up and customize your teamAll videos are in English. Apply for this course
 
Course image
 
Course image
Introduction to Cloud Computing
Recommended by Smals Experts // Apply for this course
 
Course image
MS365: Getting started with Microsoft 365
Microsoft offers a number of e-learning videos to get started with Microsoft 365. Smals Academy has clustered these videos and they are here available for you. The MS365 training includes a total of 12 videos covering the following topics:• Collaboration• Use Microsoft 365 across your team• Get started with Microsoft 365• Teamwork• Get started• Use Microsoft 365 across your work and   devices• Home• Get started with prompts• Use Microsoft 365 across your   organization• Six Simple Steps - Welcome to Microsoft   365• Create and save• Share and collaborateAll videos are in English. Apply for this course