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  • Power Engineering

Power Engineering Courses

Power engineering courses can help you learn electrical circuit design, power generation techniques, renewable energy systems, and grid management. You can build skills in load forecasting, energy efficiency analysis, and system optimization. Many courses introduce tools like MATLAB for simulations, AutoCAD for designing layouts, and SCADA systems for real-time monitoring, all of that support managing and improving power systems.

Popular Power Engineering Courses and Certifications


  • U

    University of Pennsylvania

    Microeconomics: The Power of Markets

    Skills you'll gain: Supply And Demand, Economics, Market Dynamics, Economics, Policy, and Social Studies, Market Analysis, Resource Allocation, Policy Analysis, Tax, Resource Utilization, Consumer Behaviour, Cost Benefit Analysis, Decision Making

    ★ 4.7 (1.7K) · Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Open source Data Engineering with Spark, dbt & Airflow

    Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)

    Intermediate · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI

    ★ 4.7 (8K) · Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    ChatGPT Prompt Engineering for Developers

    Skills you'll gain: OpenAI API, ChatGPT, Prompt Engineering, LLM Application, OpenAI, Large Language Modeling, Application Development

    ★ 4.7 (2.4K) · Beginner · Project · Less Than 2 Hours

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Probability & Statistics, Transfer Learning, NumPy, Matplotlib, Model Training, Model Optimization, Convolutional Neural Networks, Deep Learning, Applied Machine Learning, Statistics, Data Visualization, Keras (Neural Network Library), Statistical Hypothesis Testing, Fine-tuning, Machine Learning Methods, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • C

    Columbia University

    Financial Engineering and Risk Management

    Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Portfolio Risk, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Investments, Applied Mathematics, Risk Modeling, Estimation, Capital Markets, Futures Exchange, Financial Modeling, Regression Analysis, Market Liquidity, Statistical Methods

    ★ 4.6 (424) · Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Test Driven Development (TDD), Cloud Computing Architecture, Application Deployment, Devops Tools, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Python Programming, Application Development

    ★ 4.6 (65K) · Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Quality, Data Cleansing, Machine Learning Methods

    ★ 4.6 (4.4K) · Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    ★ 4.5 (369) · Intermediate · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • U

    University of Rochester

    Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics

    Skills you'll gain: Basic Electrical Systems, Music, Electrical Engineering, Electronics, Electronic Components, Electronic Hardware, Electronics Engineering, Electronic Systems, Music Theory, Electrical Systems, Hardware Design, Electrical Wiring, Vibrations, General Construction and Construction Labor, Engineering Analysis, Engineering Calculations

    ★ 4.6 (595) · Intermediate · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Data Engineering on AWS - Foundations

    Skills you'll gain: Infrastructure as Code (IaC), Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Continuous Integration, Data Architecture, AWS Identity and Access Management (IAM), Devops Tools, AWS CloudFormation, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform, Authentications

    ★ 4.6 (279) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    English for Science, Technology, Engineering, and Mathematics

    Skills you'll gain: Research, Vocabulary, Learning Strategies, Climate Change Mitigation, Literacy, Language Competency, English Language, Sustainable Technologies, Language Learning, Environmental Science, Grammar

    ★ 4.8 (2.9K) · Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular power engineering courses

  • Microeconomics: The Power of Markets: University of Pennsylvania
  • Open source Data Engineering with Spark, dbt & Airflow: Coursera
  • Generative AI: Prompt Engineering Basics: IBM
  • ChatGPT Prompt Engineering for Developers: DeepLearning.AI
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Financial Engineering and Risk Management: Columbia University
  • IBM DevOps and Software Engineering: IBM
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Microsoft AI & ML Engineering: Microsoft
  • Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics: University of Rochester

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