MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.
Description for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
Collaborating with Data Scientists: Comprehend the essential abilities required for data engineers to collaborate effectively with data scientists.
Integration of Machine Learning: Acquire the skills to utilize machine learning models for predictive analytics and incorporate them into automated workflows.
Performance Evaluation: Assess the efficacy of models and pipelines while documenting pertinent indicators.
Versioning and Artifact Management: Implement optimal techniques for versioning models and data, and oversee the management of model and data artifacts.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by Statistics.comX
Duration: 5�7 hours per week 4 weeks (approximately)
Schedule: Flexible
Pricing for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
Use Cases for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
FAQs for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
Reviews for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure ML
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 streamlines content creation processes, enhances online presence, offers a template library, collaboration tools, keyword monitoring, ROI analysis, cross-industry applicability, an outsourcing network, and integration with industry-leading tools.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
This AI Forecast tool, powered by machine learning, offers accurate forecasts for business needs, featuring automated data processing, customizable models, and seamless integration with AWS, yet novices may find its ML-based approach challenging, and data transfer costs may apply.
This AI tool analyzes extensive data from reports, news articles, and social media to provide precise market sentiment insights for cryptocurrency, stock, or currency trading.
The tool is powered by AI, provides investors with insights from market events, including sentiment analysis and monetary policy forecasts, to revolutionize investment strategies and maintain a competitive edge.
This helps to integrates data from various restaurant systems, utilizes advanced analytics for decision-making, and provides real-time insights to optimize operations and profitability effortlessly.
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.
Featured Tools
In order to facilitate effective learning, this course provides learners with the necessary skills to develop scalable and resilient ML solutions on AWS, combining theory and practical experience.
Construct the gradient descent algorithm, execute univariate linear regression with NumPy and Python, and create data visualizations with matplotlib.
Learn Python, analyze and visualize data, and apply your skills to data science and machine learning with a practical assignment to acquire hands-on skills for a career in data science.
Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.
Define and differentiate Generative AI, AI, and LLMs, develop AI strategies for course creation, and address benefits, challenges, and ethics of Generative AI in education.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs