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  • Practical Ai Coding

Results for "practical ai coding"


  • L

    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    AI Development with DeepSeek for Developers

    Skills you'll gain: Deepseek, DeepSeek API, LangChain, LLM Application, Generative AI Agents, Model Evaluation, Application Programming Interface (API), Text Mining

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Coding and Automation for Data Analysis with Generative AI

    Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Responsible AI, Data Processing, Debugging, Microsoft Excel, Automation, Data Transformation, Artificial Intelligence, Data Analysis, SQL, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Generative AI in Software Development

    Skills you'll gain: Retrieval-Augmented Generation, Google Gemini, Engineering Software, Responsible AI, Embeddings, Gemini, Software Development Tools, AI Workflows

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Virginia

    Coding Algorithms with AI

    Skills you'll gain: Model View Controller, Debugging, Software Design, User Interface and User Experience (UI/UX) Design, User Interface (UI), UI Components, Web Applications, Algorithms, JSON, Program Development, User Story, Javascript, Event-Driven Programming, Automation, Data Structures

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Skills you'll gain: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Tool Calling, Agentic systems, Model Deployment, Automation, Application Deployment, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Project · Less Than 2 Hours

  • A

    AI CERTs

    AI for Vibe Coding

    Skills you'll gain: Vibe coding, Programming Principles, Prompt Engineering, OpenAI API, LangChain, Generative AI Agents, AI Enablement, Artificial Intelligence, Generative AI, Responsible AI, Computer Programming, Application Development, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), No-Code Development, Debugging

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Practical Cybersecurity Fundamentals: Unit 5

    Skills you'll gain: AI Security, MITRE ATT&CK Framework, Responsible AI, Threat Modeling, Cybersecurity, Information Assurance, Threat Detection, Data Ethics, Artificial Intelligence, ChatGPT, Model Evaluation, Information Privacy

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Building AI Applications with OpenAI APIs

    Skills you'll gain: OpenAI API, Application Deployment, LLM Application, ChatGPT, Model Deployment, Application Programming Interface (API), Prompt Engineering, Natural Language Processing, User Interface (UI), Email Automation, Generative AI, Application Development, Payment Systems, Python Programming, Django (Web Framework), Flask (Web Framework), Software Development, AI Personalization

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Test and Secure Your AI Code

    Skills you'll gain: AI Security, Test Driven Development (TDD), Vulnerability Assessments, Unit Testing, Code Coverage, Vulnerability Scanning, Continuous Integration, Dependency Analysis, Secure Coding, CI/CD, Software Testing, Test Automation, Integration Testing, Continuous Deployment, Software Versioning, Large Language Modeling

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Secure AI Code & Libraries with Static Analysis

    Skills you'll gain: AI Security, Application Security, Secure Coding, DevSecOps, Open Web Application Security Project (OWASP), Responsible AI, Threat Modeling, Vulnerability Scanning, AI Personalization, Continuous Integration, Code Review, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Team Software Engineering with AI

    Skills you'll gain: Software Documentation, LLM Application, Collaborative Software, Software Testing, Large Language Modeling, Dependency Analysis, Security Testing, Debugging, Software Engineering, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    177 reviews

    Beginner · Course · 1 - 4 Weeks

1…567…769

In summary, here are 10 of our most popular practical ai coding courses

  • Practical Machine Learning without Coding: LearnQuest
  • AI Development with DeepSeek for Developers: Board Infinity
  • Coding and Automation for Data Analysis with Generative AI: Microsoft
  • Generative AI in Software Development: Board Infinity
  • Coding Algorithms with AI: University of Virginia
  • Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
  • AI for Vibe Coding: AI CERTs
  • Practical Cybersecurity Fundamentals: Unit 5: Pearson
  • Building AI Applications with OpenAI APIs: Packt
  • Test and Secure Your AI Code: Coursera

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