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  • In Context Learning And Prompt Engineering

Results for "in-context learning and prompt engineering"


  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Data Modeling, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Finance of Mergers and Acquisitions: Valuation and Pricing

    Skills you'll gain: Mergers & Acquisitions, Business Valuation, Private Equity, Financial Analysis, Financial Modeling, Corporate Finance, Corporate Strategy, Market Data, Cash Flows, Risk Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    303 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    113 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Intro to AI Engineering

    Skills you'll gain: Prompt Engineering, OpenAI API, Responsible AI, AI Security, LLM Application, Generative AI, Artificial Intelligence, API Testing, Application Programming Interface (API), Computer Programming, Development Environment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Capstone Project

    Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, Apache Spark, NoSQL, Big Data, IBM DB2, PySpark, Data Pipelines, Apache Airflow, Dashboard, Business Intelligence, Analytics, Databases, Data Architecture, Database Design, Relational Databases, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    132 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication

    4.9
    Rating, 4.9 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Machine Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Supervised Learning, Responsible AI, Data Ethics, Unsupervised Learning, Convolutional Neural Networks, Emerging Technologies, Natural Language Processing, Digital Transformation, Reinforcement Learning, Data Preprocessing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Federated Learning, Scalability, Machine Learning, Distributed Computing, Model Evaluation, MLOps (Machine Learning Operations), Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Teacher's Social and Emotional Learning

    Skills you'll gain: Self-Awareness, Teaching, Empathy & Emotional Intelligence, Growth Mindedness, Persistence, Relationship Building

    4.7
    Rating, 4.7 out of 5 stars
    ·
    696 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Español

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular in-context learning and prompt engineering courses

  • Feature Engineering - 한국어: Google Cloud
  • Finance of Mergers and Acquisitions: Valuation and Pricing: University of Illinois Urbana-Champaign
  • Applied Python Data Engineering: Duke University
  • Intro to AI Engineering: Scrimba
  • Data Engineering Capstone Project: IBM
  • Learning Experience Design: Theories and Frameworks: University of Michigan
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA

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