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  • Genetic Engineering

Genetic Engineering Courses

Genetic engineering courses can help you learn gene editing techniques, DNA sequencing, and the principles of synthetic biology. You can build skills in designing experiments, analyzing genetic data, and applying CRISPR technology for various applications. Many courses introduce tools like bioinformatics software and laboratory equipment, that support conducting research and developing genetically modified organisms.

Popular Genetic Engineering Courses and Certifications


  • D

    DeepLearning.AI

    Prompt Engineering with Llama 2&3

    Skills you'll gain: Prompt Engineering, Prompt Patterns, LLM Application, Large Language Modeling, Responsible AI, AI Security

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Beginner · Project · Less Than 2 Hours

  • D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, UI Components, Object Oriented Design, Java Programming, Software Design, Debugging, Web Design and Development, Software Engineering, Code Reusability, Hypertext Markup Language (HTML), Computer Programming, Program Development, Event-Driven Programming, Bioinformatics, Encryption, Computer Programming Tools, Javascript, Algorithms, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Columbia University

    Introduction to Financial Engineering and Risk Management

    Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Mathematical Modeling, Applied Mathematics, Capital Markets, Futures Exchange, Finance, Financial Modeling, Risk Modeling, Probability, Risk Management, Probability Distribution, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    323 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI: Prompt Engineering Basics

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    Rating, 4.6 out of 5 stars
    ·
    424 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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

  • 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

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65K reviews

    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
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Electronic Systems, Electronics Engineering, Music Theory, Electrical Systems, Hardware Design, Electrical Wiring, Vibrations, General Construction and Construction Labor, Engineering Analysis, Engineering Calculations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    595 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    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
    Rating, 4.5 out of 5 stars
    ·
    365 reviews

    Intermediate · Professional Certificate · 3 - 6 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
    Rating, 4.6 out of 5 stars
    ·
    277 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1K reviews

    Intermediate · Specialization · 3 - 6 Months

1…101112…448

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

  • Prompt Engineering with Llama 2&3: DeepLearning.AI
  • Java Programming and Software Engineering Fundamentals: Duke University
  • Introduction to Financial Engineering and Risk Management: Columbia University
  • Generative AI: Prompt Engineering Basics: IBM
  • Financial Engineering and Risk Management: Columbia University
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • IBM DevOps and Software Engineering: IBM
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics: University of Rochester
  • Microsoft AI & ML Engineering: Microsoft

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