1222 courses available
Amazon Web Services
Building Language Models on AWS
Artificial IntelligenceAmazon SageMaker helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models. SageMaker brings together a broad set of capabilities, including access to distributed training libraries, open source and foundation…
Amazon Web Services
Building Retrieval Augmented Generation (RAG) workflows with Amazon OpenSearch Service
Artificial IntelligenceRetrieval Augmented Generation (RAG) is a powerful technique that enhances the accuracy and relevance of AI-generated responses by combining information retrieval with text generation. In this course, you will explore how to build RAG solutions…
Amazon Web Services
Building Safe and Responsible Generative AI Applications with Amazon Bedrock Guardrails
Artificial IntelligenceThis course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
Amazon Web Services
Building Spring AI MCP Agents Bedrock
Artificial IntelligenceThis course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
IBM
Building Trustworthy AI Enterprise Solutions
Artificial IntelligenceThis badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to exploring the ethical adoption of AI technologies in the enterprise. The individual has demonstrated skills and understanding of the use of AI technologies for business, including: AI industry adoption trends, AI ethical considerations, Natural Language Processing, and Virtual Agents.
Amazon Web Services
Building a Generative AI-Ready Organization
Artificial IntelligenceBuilding a Generative AI-Ready Organization is the last course in a three-part series of Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, we recommend you start with the first course in the…
Amazon Web Services
Building a Machine Learning Ready Organization
Artificial IntelligenceThis course provides components needed for successful organizational adoption of machine learning (ML). Course level: Fundamental. Duration: 30 minutes. This course includes presentations, videos, and knowledge assessments.
Amazon Web Services
Building with AWS IoT SiteWise
Data ScienceDo you need near real-time monitoring on your industrial equipment? What if you can visualize machine data and compute metrics that are important to your business? How might this functionality improve your operations? AWS IoT SiteWise is a managed…
Amazon Web Services
CLIF-HC content version test case CTP-973
CLIF-HC content version test case CTP-973
Salesforce
CRM Analytics Basics
Data ScienceLearn how to use CRM Analytics (formerly Tableau CRM) to explore and visualise data, giving you powerful business insights.
Microsoft
Career Essentials in Generative AI
Artificial IntelligenceGenerative AI is reshaping industries by transforming how work gets done. This learning path puts you at the forefront of this creative revolution, covering content creation, key models, future trends, ethical considerations, and tools like Microsoft Copilot. Gain essential skills to harness generative AI in your career.
IBM
Career Management Essentials
This credential earner demonstrates a thorough understanding of the resume creation and interview process. The individual knows how to research workplaces, build a professional social network brand, identify their skills, create a standout resume to bypass application tracking systems, and prepare for interviews. The earner has practiced using AI tools to enhance a resume and tailor it for different job roles.
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