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Optimism courses 1,762

Learn Optimism online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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University of Alberta

Sample-based Learning Methods

4.81,259 ratings

In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s…

  • Coursera
  • 4-6 hours/week
  • Self-paced
  • Paid certificate

The Linux Foundation

RISC-V Toolchain and Compiler Optimization Techniques

Develop a working knowledge of the internals of compiler toolchains and compiler optimization techniques with a focus on RISC-V applications.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

MIT OpenCourseWare

Engineering, Economics and Regulation of the Electric Power Sector

The course presents an in-depth interdisciplinary perspective of electric power systems, with regulation providing the link among the engineering, economic, legal and environmental viewpoints. Generation dispatch, demand response, optimal network flows, risk allocation, reliability of service, rene…

  • MIT
  • Self-paced
  • Free course
  • Advanced

Microsoft

Get started with Azure Advisor

Learn how to use Azure Advisor to optimize your Azure usage, lower costs, and increase efficiency.

  • Microsoft Learn
  • 35 minutes
  • Self-paced
  • Free course
  • Free badge
  • Beginner

freeCodeCamp

GenAI Essentials – Full Course for Beginners

Learn the essentials of working with AI in the cloud from @ExamProChannel. This comprehensive course covers the complete generative AI development lifecycle - from fundamental concepts through practical implementation, including prompt engineering, development tools, deployment, optimization, and a…

Free video
  • YouTube
  • 23 hours
  • Self-paced
  • Free video

Stanford University

Stanford AA222 I Engineering Design Optimization

Selected lectures from AA222: Engineering Design Optimization. Design of engineering systems within a formal optimization framework. This course covers the mathematical and algorithmic fundamentals of optimization, including derivative and derivative-free approaches for both linear and non-linear p…

Video playlist
  • YouTube
  • 4 videos, 4 hours
  • Self-paced
  • Free video

MIT OpenCourseWare

Matrix Calculus for Machine Learning and Beyond

We all know that calculus courses such as 18.01 Single Variable Calculus and 18.02 Multivariable Calculus cover univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next big step, “matrix calculus” and calculus on arbitr…

  • MIT
  • Self-paced
  • Free course
  • Advanced

Microsoft

Optimize Azure reliability by using Azure SRE Agent

Learn how to apply SRE (Site Reliability Engineering) principles and use Azure SRE Agent to improve incident response, reduce operational toil, and govern remediation workflows.

  • Microsoft Learn
  • 1.5 hours
  • Self-paced
  • Free course
  • Free badge
  • Intermediate

Microsoft

Manage secure AI-ready infrastructure

This module shows how to secure AI agents using Azure RBAC and Microsoft Entra ID managed identities, eliminating stored credentials while enforcing least‑privilege access. It then demonstrates deploying Azure Cosmos DB for NoSQL as a scalable, compliant conversation store optimized for agent workl…

  • Microsoft Learn
  • 1.5 hours
  • Self-paced
  • Free course
  • Free badge
  • Intermediate

National Taiwan University

Operations Research (1): Models and Applications

4.8588 ratings

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, etc. This course introduces frameworks and ideas about various types of opt…

  • Coursera
  • 12 hours
  • Self-paced
  • Paid certificate

National Taiwan University

Operations Research (3): Theory

4.997 ratings

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc. The series of courses consists of three parts, we focus on determinist…

  • Coursera
  • 14 hours
  • Self-paced
  • Paid certificate

Microsoft

Optimize costs by using Azure Hybrid Benefit

Microsoft Azure offers Azure Hybrid Benefit, which helps organizations reduce costs when migrating to the cloud environment. You can leverage several Azure discounts and combine them with other services and strategic pricing offerings.

  • Microsoft Learn
  • 1 hour
  • Self-paced
  • Free course
  • Free badge
  • Intermediate

Alison

Advanced Diploma in VMware Ultimate Bootcamp vSphere 4

3.54 ratings

This carefully designed course allows you to combine various terms and concepts common to virtual machines (VM) along with important hands-on learning tools. This includes comprehensive labs together with practice quizzes, making you a master at virtualization, optimization and other related techno…

Learning path or series
  • Alison
  • 15 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Intermediate

Microsoft

Optimize query performance using indexes in Azure DocumentDB

Optimize query performance in Azure DocumentDB by building effective indexing strategies. Create single-field, compound, multi-key, and specialized indexes. To maintain performance at scale, analyze query execution with the explain() command and monitor index health.

  • Microsoft Learn
  • 1.5 hours
  • Self-paced
  • Free course
  • Free badge
  • Intermediate

Amazon Web Services

Essentials of Prompt Engineering

4.61,065 ratings

In this course, you will be introduced to the fundamentals of crafting effective prompts. You will gain an understanding of how to refine and optimize prompts for a range of use cases. You will also explore techniques like zero-shot, few-shot, and chain-of-thought prompting. Finally, you will learn…

  • Coursera
  • 1 hour
  • Self-paced
  • Paid certificate

MIT OpenCourseWare

Principles of Discrete Applied Mathematics

This course will teach you illustrative topics in discrete applied mathematics, including counting, generating functions, probability, linear optimization, algebraic structures, basic number theory, information theory, and coding theory. It is a CI-M (Communication Intensive in the Major) course an…

  • MIT
  • Self-paced
  • Free course
  • Advanced

MIT OpenCourseWare

Nonlinear Optimization

This course offers a unified analytical and computational approach to nonlinear optimization problems. Unconstrained optimization methods include gradient, conjugate direction, Newton, sub-gradient, and first-order methods. Constrained optimization methods include feasible directions, projection, i…

  • MIT
  • Self-paced
  • Free course
  • Advanced

MITx

Deep Learning and Generative Models: Training, Inference, and Model Evaluation

Learn how deep neural networks are trained, adapted, deployed, and evaluated. Part two in a five-part series, this online course in the Deep Learning and Generative Models program connects core optimization methods with practical approaches to transfer learning, efficient inference, and rigorous mo…

  • MIT
  • 2 weeks, 6-8 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate

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