All Trainer courses

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Your Top AI Questions Answered: AI Literacy for Everyone (LinkedIn Learning)
Course duration: 0,82h Explore the dynamic landscape of artificial intelligence and gain a strong understanding of both traditional and generative AI. Join instructor and generative AI expert Dr. Marily Nika as she offers an overview of the history of AI—from its conceptual inception to its current state. Discover the differences between traditional AI and generative AI, before diving into constructing effective prompts to enhance the usefulness of AI responses in various contexts. Learn about key technologies including transformer architecture, large language models (LLMs), and real-world applications like chatbots, translators, and agents. Along the way, Marily covers the importance of data quality, expert human contribution, and the back-end technology, such as GPUs, all of which are essential for training AI systems. This course is an ideal fit for tech enthusiasts, data scientists, professionals in tech-driven fields, and anyone looking to leverage AI for personal or professional growth. Topics include: Compare traditional AI systems with generative AI models and describe their unique capabilities and applications. Explain what a GPU is and how it leads to overall cost for running AI models. Outline the key components of an effective generative AI prompt. Identify the ethical considerations in AI development and explain strategies for practicing responsible AI. Summarize the impact of data quality on AI outcomes.   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
 
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Uncertainty to Action: Starting Your AI Learning Journey (LinkedIn Learning)
Course duration: 0,65h In this course, learn to stop feeling anxious about AI and how to effectively integrate AI skills into your daily routine. Instructor Amy Blankson starts by acknowledging common concerns about AI and shows you how to view it as a valuable tool rather than a threat. The course encourages you to explore various AI tools with practical applications, solve real-life problems, and address challenges with structured problem-solving techniques. Additionally, discover ways to infuse empathy into your AI outputs, work more efficiently, and ethically apply AI in your endeavors. Topics include: Identify and acknowledge common anxieties about AI and how to address them. Explore and utilize AI tools to solve real-life challenges and improve productivity. Apply structured problem-solving techniques to overcome AI-related challenges. Integrate ethical guidelines and empathy into AI-generated outputs. Develop strategies to seamlessly incorporate AI into everyday routines for maximum efficiency.   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
 
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Introduction to Artificial Intelligence (LinkedIn Learning)
Course duration: 2,45h Computer scientists are just a small slice of people working in artificial intelligence (AI). Most people working with AI are just like you. They’re professionals, teachers, and students who want to use AI to enhance their products, creativity, and career. AI has been around for over half a century. Despite huge advancements in predictive and generative AI, the core concepts of artificial intelligence are still accessible. This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. First, learn what it means for a system to display “intelligence.” Then, explore the difference between classic predictive AI and newer generative AI. Next, you’ll get an overview of machine learning algorithms, artificial neural networks, foundation models, and deep learning. From the AI curious to the AI careerist, this course will help you get started with intelligent systems. This course is part of a Professional Certificate from Microsoft. This course is part of a Professional Certificate from Microsoft. Topics include: List the distinctions between symbolic systems and machine learning. Identify challenges in natural language processing. Define the various types of machine learning. Explain the importance of algorithms in machine learning. Determine conditions in which using artificial intelligence is appropriate. Review the differences between artificial intelligence and machine learning that impact business decisions.   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
 
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Artificial Intelligence Info sources
Artificial Intelligence Information Resources
 
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Introduction to Prompt Engineering for Generative AI (LinkedIn Learning)
Course duration: 1,06h Learn how to craft high-impact prompts for generative AI tools. Whether you’re a beginner or have been experimenting with generative AI tools, this course offers a great introduction to the art of prompt engineering. Senior AI engineer Ronnie Sheer guides you through what large language models are and what problems they may be able to solve. Ronnie dives into text generation, starting with a warning to use text generation AI responsibly, then moving on to Copilot, ChatGPT, Gemini, and Claude. He introduces you to the AI generated image landscape, then shows you how to use Dall-E and Midjourney. Plus, Ronnie goes over advanced concepts like fine-tuning your prompts and interacting with language models using an API. This course is part of a Professional Certificate from Microsoft. Topics include: Describe the concept of prompt engineering and its importance in effective interaction with generative AI systems. Use generative AI tools like ChatGPT, Google Gemini, Microsoft Copilot, and Anthropic's Claude to generate text and images for different applications. Explain the basic components of AI tools, including tokens in the context of generative AI. Evaluate the capabilities and limitations of language models to determine which problems can be solved by them. Demonstrate awareness of ethical and security considerations in responsible AI use.   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
 
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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
 
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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
 
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Professionele video's in 4 eenvoudige stappen
This 15' Dutch-language video explains how to achieve a professional training video through 4 easy steps.