Search result for Deploying ai models Online Courses & Certifications
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TensorFlow 2.0 Practical
by Dr. Ryan Ahmed, Ph.D., MBA- 4.3
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11.5 hours on-demand video
is Google’s most powerful, recently released open source platform to build and deploy AI models in practice. (4) Develop AI models to perform sentiment analysis and analyze customer reviews. (5) Perform AI models visualization and assess their performance using Tensorboard (6) Deploy AI models in practice using Tensorflow 2. Deploy ANNs models in practice using TensorFlow 2....
$15.99
TensorFlow 2.0 Practical Advanced
by Dr. Ryan Ahmed, Ph.D., MBA- 4
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12.5 hours on-demand video
which is Google’s most powerful open source platform to build and deploy AI models in practice. The applications of these advanced AI models are endless including new realistic human photographs generation, text translation, image de-noising, image compression, text-to-image translation, image segmentation, and image captioning. Deploy AI models in practice using TensorFlow 2....
$14.99
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
This course introduces you to an area that few data scientists are able to experience: Deploying models for use in large enterprises. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Deploying Models...
AI Workflow: AI in Production
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 17 hours to complete
This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. Discuss the different feedback loops in AI workflow This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Security and Machine Learning Models...
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
This is the third course in the IBM AI Enterprise Workflow Certification specialization. Employ ai Fairness 360 open source libraries to detect bias in models This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. Employ evaluation metrics to select models for production use This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Linear Models...
AWS IoT:Building cool apps,AI& serverless Computing-Deeplens
by Indra Programmer- 2.8
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2 hours on-demand video
AWS Lambda, for running inference against CNN models AWS Greengrass, for deploying updates and functions to your device Get started with AWS DeepLens by using any of the pretrained models that come with your device....
$9.99
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Modern Artificial Intelligence Masterclass: Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
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15 hours on-demand video
One key unique feature of this course is that we will be training and deploying models using Tensorflow 2. One key unique feature of this course is that we will be training and deploying models using Tensorflow and AWS SageMaker. Build, train, deploy AI models in business to predict customer default on credit card using AWS SageMaker XGBoost algorithm....
$12.99
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
This is the second course in the IBM AI Enterprise Workflow Certification specialization. This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
ML Pipelines on Google Cloud
by Google Cloud Training- 3.7
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Approx. 11 hours to complete
TFX on Cloud AI Platform Lab Intro: TFX on Cloud AI Platform Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines KubeFlow & AI Platform Pipelines Lab Intro: Lab Intro: Continuous Training with TensorFlow, PyTorch, XGBoost, and Scikit Learn Models with KubeFlow and AI Platform Pipelines MLflow models Demo: Deploying MLflow Locally Tracking Keras, TensorFlow, and Sckit-learn experiments...
