AI & Machine Learning Training Courses

61 results found for "AI & Machine Learning"

• Generative AI Topic: AI & Machine Learning | Code: GAI-2401

  Deploying and Scaling Generative AI Applications (Course)

  GAI-2401

  Specialized hardware and complex data processing requirements make deploying and scaling Generative AI (GenAI) applications challenging. This Generative AI course covers the deployment lifecycle,...

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• Generative AI Topic: AI & Machine Learning | Code: GAI-2501

  Securing & Red-Teaming Generative AI Deployments (Course)

  GAI-2501

  Learn how to secure and test generative AI deployments against vulnerabilities. In this Generative AI course, participants learn the top GenAI vulnerabilities from the OWASP Top 10 for LLMs, the...

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• Generative AI Topic: AI & Machine Learning | Code: GAI-3301

  Responsible Leadership of Generative AI Initiatives (Course)

  GAI-3301

  Prepare your executives and senior managers with the knowledge to lead strategic Generative AI initiatives effectively. This responsible AI course covers AI governance, risk management, and ethical...

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• Generative AI Topic: Terraform | Code: WA3758

  Strategic AI for Terraform Workflows (Course)

  WA3758

  This Terraform with AI training course teaches learners to strategically integrate Artificial Intelligence across the entire Infrastructure as Code (IaC) lifecycle. Learners move beyond basic code...

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• Generative AI Topic: AI & Machine Learning | Code: GAI-2103

  Applying GenAI Across the Software Development Lifecycle (Course)

  GAI-2103

  Equip your team with the skills to integrate Generative AI across the Software Development Lifecycle. This course covers AI-driven software development, testing, security, and operations, enabling...

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• Generative AI Topic: AI & Machine Learning | Code: GAI-1001

  Introduction to Generative AI Concepts (Course)

  GAI-1001

  Boost your team's speed, accuracy, and analytic insights by equipping them with essential Generative AI (GenAI) skills. This Generative AI course provides a practical introduction to GenAI, covering...

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• Azure Data Topic: Cloud | Code: WA3716

  Microsoft - Machine Learning and MLOps on Azure with Azure ML (Course)

  WA3716

  In this Azure ML course, participants gain practical, hands-on experience in building, deploying, and operationalizing machine learning models using Azure Machine Learning (AzureML). The course covers...

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• NVIDIA Topic: AI & Machine Learning | Code: NV-GEN-AI-DM

  NVIDIA - Generative AI with Diffusion Models (Course)

  NV-GEN-AI-DM

  Thanks to improvements in computing power and scientific theory, Generative AI is more accessible than ever before.Generative AI will play a significant role across industries and will gain...

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• Data Management Topic: AI & Machine Learning | Code: D1102702GC10

  Oracle Machine Learning for R (Course)

  D1102702GC10

  In this course, you will learn about Oracle Machine Learning for R, and learn how to use it to develop machine learning solutions. This course will be delivered with a live lab Skills Gained The OML4R...

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• Oracle Database Topic: AI & Machine Learning | Code: D108288GC10

  Implement Machine Learning Using Oracle Data Miner LVC (Course)

  D108288GC10

  In this SLS course, you'll discover the basic concepts behind data science and machine learning, and learn about the steps associated with a typical machine learning project. You will learn about...

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• SPSS Modeler and Data Science Topic: AI & Machine Learning | Code: 0A079G

  Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (Course)

  0A079G

  This course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel...

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• SPSS Modeler and Data Science Topic: AI & Machine Learning | Code: 0E079G-SPVC

  Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (Course)

  0E079G-SPVC

  This IBM Self-Paced Virtual Class (SPVC) includes: - PDF course guide available to attendee during and after course - Lab environment where students can work through demonstrations and exercises at...

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