Description for Creating ML Models in Microsoft Azure
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Microsoft
Duration: 12 hours (approximately)
Schedule: Flexible
Pricing for Creating ML Models in Microsoft Azure
Use Cases for Creating ML Models in Microsoft Azure
FAQs for Creating ML Models in Microsoft Azure
Reviews for Creating ML Models in Microsoft Azure
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Creating ML Models in Microsoft 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
Learn how to utilize crowdsourcing to collect diverse and representative datasets, implement effective active learning strategies, and maintain data quality for robust machine learning models.
Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.
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.