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. Rely on our training to help you improve your organization’s products, services, and customer satisfaction. Whether you want to enhance predictive modeling, automate processes, or gain deeper insights from your data, our training will 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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AI & Machine Learning

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Agile and DevOps

Machine Learning With Spark (SPRK-106)

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Analytics

Analytics - Defining Machine Learning Requirements and Acceptance Criteria Training (DATA-136)

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AWS

Developing Generative AI Applications on AWS (AWS-GENAI-APP)

AWS - Introduction to Data Science and Machine Learning with Amazon SageMaker (DATA-140)

AWS - Generative AI for Executives (AWS-GENAI-EXEC)

Generative AI Essentials on AWS (AWS-GENAI-ESS)

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CertNexus

CertNexus - GenAIBIZ™ (CNX0019)

CertNexus - Certified Artificial Intelligence (AI) Practitioner (CNX0016)

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Cloudera

Enterprise AI with Cloudera Machine Learning (DSCI-273)

Predicting with Cloudera Machine Learning (DSCI-272)

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Data Engineering

Data Engineering - Apache Airflow for Machine Learning Operations (PYTH-226)

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Databricks

Machine Learning with Databricks (MLDB)

Generative AI Engineering with Databricks (GENAIGENGG)

Advanced Machine Learning with Databricks (AMLWD)

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Generative AI

Text Analytics Using Machine Learning (INNO-TAUML)

Advanced Machine Learning (INNO-AML)

Building Cloud Solutions for Machine Learning (Custom-Cloud-ML)

Machine Learning for Operations (INNO-MLforOps)

Practical Data Science and Machine Learning with Python (WA3419)

Fundamentals of Deep Learning and Generative AI (WA3462)

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Google Cloud

Google Cloud Big Data and Machine Learning Fundamentals (GCP-BD-ML)

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Machine Learning on Google Cloud (GCP-ML)

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

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

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

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

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IBM

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

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

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

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

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

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)

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

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

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

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

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

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NVIDIA

NVIDIA - Generative AI with Diffusion Models (NV-GEN-AI-DM)

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Oracle

Oracle Machine Learning for R (D1102702GC10)

Oracle Machine Learning for Python on Oracle Cloud (D1102701GC10)

Implement Machine Learning Using Oracle Data Miner LVC (D108288GC10)

Oracle Cloud Infrastructure Generative AI Professional (OCI-GENAIPRO)

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Programming

Python Primer for Data Science and Machine Learning | Hands-on Technical Overview (TTPS4872)

Spark and Machine Learning at Scale (WA3290)

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85 results found for "AI & Machine Learning"

Generative AI Essentials on AWS (AWS-GENAI-ESS)

Advanced Machine Learning with Databricks (AMLWD)

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

Developing Generative AI Applications with Spring (AI-152)

Machine Learning for Operations (INNO-MLforOps)

Building Cloud Solutions for Machine Learning (Custom-Cloud-ML)

Text Analytics Using Machine Learning (INNO-TAUML)

Advanced Machine Learning (INNO-AML)

Overview of Generative AI (AI-116)

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

Creating, Testing, and Deploying Machine Learning Models with IBM Watson Studio V4.8 (W7L549G)

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

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