AI & Machine Learning Training Courses

There’s an enormous amount of data available to every business today, and success will go to those who know how to make the best use of that information. Ascendient Learning offers AI and ML courses from all the major vendors. Whether you want to enhance predictive modeling, automate processes, or gain deeper insights from your data, our classes and AI programs provide you with the needed expertise. Browse our vendor-specific offerings or explore the wide range of custom-built artificial intelligence and machine learning training courses.

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Google Cloud

Machine Learning on Google Cloud (GCP-ML)

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Smart Analytics, Machine Learning, and AI on Google Cloud (GCP-SAML-AI)

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Google Cloud - Vertex AI for Machine Learning Practitioners (GCP-VERT-AI-ML)

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Introduction to AI and Machine Learning on Google Cloud (GCP-INTR0-AI-ML)

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Google Cloud - Empower Decision Makers with Generative AI (GCP-EDMGAI)

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Google Cloud - Vertex AI and Generative AI Security (GCP-VAIGAS)

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IBM

Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (0A079G)

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Introduction to Machine Learning Models Using IBM SPSS Modeler (V18.2) (0E079G-SPVC)

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Machine Learning Rapid Prototyping with IBM Watson Studio (W7072G-WBT)

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IBM - Exploratory Data Analysis for Machine Learning (W7101G-SPVC)

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IBM - Machine Learning Specialist - Supervised Learning: Regression and Classification (W7139G-SPVC)

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IBM - Machine Learning Specialist - Unsupervised Machine Learning, Time Series and Survival Analysis (W7140G-SPVC)

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Microsoft

Microsoft - Implementing a Machine Learning solution with Azure Databricks (DP-3014)

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Microsoft - Train and Deploy a Machine Learning Model with Azure Machine Learning (DP-3007)

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Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric (DP-604T00)

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Microsoft - Data Analytics and Machine Learning Solutions with Azure Databricks (DP-3011-14)

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Microsoft - Foundations of Machine Learning: Bridging Business Intelligence and Data Science (WA3688)

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Microsoft - Machine Learning and MLOps on Azure with Azure ML (WA3716)

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86 results found for "AI & Machine Learning"

Machine Learning on Google Cloud (GCP-ML)

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AWS - Amazon SageMaker Studio for Data Scientists (AWS-SMS-DS)

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Microsoft Azure AI Fundamentals (AI-900T00)

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Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)

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MLOps Engineering on AWS (AWS-MLO-ENG)

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Applied Linear Algebra, Calculus and Statistics for AI, ML and Data Science (WA3418)

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Practical Data Science and Machine Learning with Python (WA3419)

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Spark and Machine Learning at Scale (WA3290)

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Building Generative AI Applications (GAI-1101)

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Understanding Generative AI Risks: Security, Ethics, and Social Implications (WA3556)

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Mastering Generative AI with PyTorch (WA3547)

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Comprehensive Generative AI for Developers (WA3590)

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Introduction to Generative AI Concepts & Development (WA3591)

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Customizing Generative AI Models (GAI-1201)

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Introduction to Generative AI Concepts (GAI-1001)

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Developing Advanced Generative AI Applications (GAI-2102)

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Enhancing Generative AI with Retrieval Augmented Generation (GAI-2101)

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Practicing Responsible Generative AI (GAI-2202)

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Evaluating & Monitoring Generative AI Models and Applications (GAI-2201)

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