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Results for "code testing"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Generative AI and LLMs on Databricks

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Engineering Tools, Generative AI Agents, LLM Application, OpenAI, Claude Code, Anthropic Claude, Rust (Programming Language), Databricks, Embeddings, MLOps (Machine Learning Operations), Vector Databases, Data Architecture, DevOps, Python Programming, Software Architecture, Scala Programming, Governance

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Packt

    Ethical Hacking and CompTIA PenTest+ V3 (PT0-003) Exam Prep

    Skills you'll gain: Penetration Testing, Metasploit, Exploitation techniques, Cloud Security, Vulnerability Scanning, Cyber Security Assessment, Network Security, Application Security, Vulnerability Assessments, Cybersecurity, Mobile Security, Human Factors (Security), Network Analysis, Scripting, Virtual Machines, Linux, Technical Communication

    Advanced · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: The Fundamentals

    Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Build and Execute Automation Tests with Tosca

    Skills you'll gain: Test Automation, Test Case, Software Testing, Automation, Continuous Integration, Acceptance Testing, Test Execution Engine, Integration Testing, Test Planning, Mobile Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Design Impactful Dashboards: Visualize and Evaluate Data

    Skills you'll gain: Dashboard, Data Synthesis, Usability Testing, Data Integration, Usability, Data Presentation, Market Research, Data Literacy, Interactive Data Visualization, Looker (Software), User Experience Design, Data Visualization, Product Improvement, Tableau Software, Peer Review, User Centered Design, Data Storytelling, Grafana, Driving engagement, Graphic and Visual Design

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: Cloud Deployment, Continuous Deployment, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Data Visualization Software, Data Science, Statistical Programming, Cloud Computing, Git (Version Control System), Cloud Platforms, Application Programming Interface (API), Other Programming Languages, Development Environment, Python Programming, Open Source Technology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Architecture

    Skills you'll gain: Data Warehousing, SQL, Apache Hadoop, Database Design, Data Security, Linux Commands, Data Migration, Data Governance, Apache Spark, Bash (Scripting Language), Extract, Transform, Load, Shell Script, IBM DB2, Cloud Storage, Data Architecture, Data Management, Data Integration, Relational Databases, File Management, Database Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 4 Weeks

1…404142…380

In summary, here are 10 of our most popular code testing courses

  • Generative AI and LLMs on Databricks: Pragmatic AI Labs
  • Ethical Hacking and CompTIA PenTest+ V3 (PT0-003) Exam Prep: Packt
  • Learn to Program: The Fundamentals: University of Toronto
  • Build and Execute Automation Tests with Tosca: EDUCBA
  • Algorithms: Stanford University
  • Design Impactful Dashboards: Visualize and Evaluate Data: Coursera
  • Integrate and Optimize AI Services Seamlessly: Coursera
  • Building Reliable LLM Systems: Coursera
  • Introduction to HTML5: University of Michigan
  • Tools for Data Science: IBM

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