Building and Operating ML Solutions with Azure
The subject matter addresses the Azure ML Python SDK for the development and administration of enterprise machine learning applications, as a component of the DP-100 certification program.
Description for Building and Operating ML Solutions with Azure
Comprehensive Utilization of Azure ML SDK: Master the Azure Machine Learning Python SDK for the development and administration of scalable machine learning solutions.
Data and Computational Management: Comprehend the utilization of data and computational resources in Azure Machine Learning for enhanced model training efficiency.
Model Training and Data Safeguarding: Utilize the Azure ML SDK to train models, identify the appropriate model, and enforce data protection protocols for sensitive information.
Deployment of Real-Time Machine Learning Services: Design and implement pipelines for the deployment of real-time machine learning services with Azure Machine Learning.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Microsoft
Duration: 3 weeks at 10 hours a week
Schedule: Flexible
Pricing for Building and Operating ML Solutions with Azure
Use Cases for Building and Operating ML Solutions with Azure
FAQs for Building and Operating ML Solutions with Azure
Reviews for Building and Operating ML Solutions with Azure
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Building and Operating ML Solutions with Azure
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
The AI tool offers real-time behavior segmentation across industries, integrating diverse data sources and leveraging the Personalive� system for personalized insights, with resources available for data scientists.
Sturppy Plus, acting as a dedicated CFO powered by AI, streamlines financial management processes for startups and small businesses, offering cost-effective insights and financial modeling utilities without the need for prior finance knowledge.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.
Featured Tools
In brief, this course instructs students on the effective management of data biases, the prevention of overfitting, and the enhancement of model accuracy through the implementation of appropriate testing methods and feature engineering.
Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.
Modern robotics' most critical concepts. A comprehensive examination of the kinematics, dynamics, motion planning, and control of mobile robots and robot limbs.
Learn the basics of Generative AI and its economic and business impact, employment consequences, potential risks, and insights from industry leaders like Google and OpenAI.
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.