Microsoft
Training with AI tools
In this module, you learn various AI-powered tools and how to effectively use them in your training sessions for an optimized learning experience.
- Microsoft Learn
- 2 hours
- Self-paced
- Free course
- Free badge
- Beginner
Free online
Learn Optimism online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Microsoft
In this module, you learn various AI-powered tools and how to effectively use them in your training sessions for an optimized learning experience.
Massachusetts Institute of Technology
This graduate-level course is a continuation of Mathematical Methods for Engineers I (18.085). Topics include numerical methods; initial-value problems; network flows; and optimization. View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at…
Carnegie Mellon University
This course is a hands-on exploration of the most challenging problem in computer science: database query optimization. It will cover the classical and state-of-the-art methods and algorithms for converting SQL statements into physical query plans. Additional topics include cost models, feedback me…
Microsoft
Optimize Azure SQL Database performance by choosing the right service tier and managing concurrency with isolation levels. Analyze queries with execution plans and DMVs. Use Query Store for plan management and resolve blocking and deadlocks.
Microsoft
Learn how to use AutoML to train optimal machine learning models for your data in Azure Databricks.
IIT Kanpur
Computer Science and Engineering course by Dr. Mainak Chaudhuri, Prof. Rajat Moona, Prof. Sanjeev K Aggarwal.
Microsoft
Learn how to implement tracing in your generative AI applications using Microsoft Foundry and OpenTelemetry. This module teaches you to capture detailed execution flows, debug complex workflows, and understand application behavior for better reliability and optimization.
MITx
Learn how to use optimization methodologies and modeling approaches to effectively analyze data.
Microsoft
Discover how Microsoft Clipchamp streamlines postproduction for animated projects, including AI-powered color grading, transitions, asset integration, and export optimization.
École normale supérieure
Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossi…
The Chinese University of Hong Kong
Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportat…
Microsoft
Learn how to monitor cluster consumption, troubleshoot job failures, diagnose Spark performance issues, and implement log streaming to Azure Log Analytics for centralized monitoring of Azure Databricks workloads.
Microsoft
Learn about Power BI model frameworks including import, DirectQuery, and composite models. Understand the benefits and limitations of each to optimize your data models.
Great Learning
This course on how Data Science, in a few of the many ways, unwraps, market, evolution, optimizes digital manufacturing that underpins and nurtures a key transformation road map in the CPG industry. This course will give a glimps…
IIT Kanpur
Electrical Engineering course by Prof. Aditya K. Jagannatham.
Microsoft
Explore complementary strategies to optimize generative AI model performance, including prompt engineering, system messages, model parameters, Retrieval Augmented Generation (RAG), and fine-tuning. Learn when to use each strategy and how to combine them.
Stanford University
Concentrates on recognizing and solving convex optimization problems that arise in applications. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optima…
IBM
Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.
Microsoft
Use Power BI to understand where your money is being spent in Azure so you can help your organization to optimize its costs.
Microsoft
Azure Database for PostgreSQL efficiently manages vast quantities of data and their structures through system catalogs and views. This module explores how to optimize database performance by accessing and configuring metadata, understanding the role of the vacuum process in maintaining database hea…