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  • Deeplearning Ai

Deeplearning.AI Courses

Deeplearning.AI courses can help you learn how machine learning and artificial intelligence techniques are developed and applied across different tasks. You can build skills in neural networks, model evaluation, data preparation, and modern generative AI methods. Many courses introduce tools such as Python libraries, cloud environments, and frameworks that support experimenting with models and strengthening practical AI workflows.


Popular Deeplearning.AI Courses and Certifications


  • D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Large Language Modeling, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    الشبكات العصبية والتعلم العميق

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Convolutional Neural Networks, Machine Learning Methods, Applied Machine Learning, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI For Everyone (すべての人のためのAIリテラシー講座)

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Machine Learning, Responsible AI, Data Ethics, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    306 reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Building Agentic RAG with LlamaIndex

    Skills you'll gain: Tool Calling, Generative AI Agents, Retrieval-Augmented Generation, LLM Application, Agentic systems, Debugging, Prompt Engineering, Document Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Beginner · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Fast Prototyping of GenAI Apps with Streamlit

    Skills you'll gain: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, Prototyping, Agile Product Development, Retrieval-Augmented Generation, Application Development, Interactive Design, User Interface (UI), Data Integration

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Design, Develop, and Deploy Multi-Agent Systems with CrewAI

    Skills you'll gain: AI Orchestration, Agentic Workflows, Generative AI Agents, Agentic systems, LLM Application, Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Monitoring, Workflow Management, Tool Calling, Continuous Monitoring, Scalability, Prompt Engineering, Code Review, User Feedback

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Open Source Models with Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, Generative AI, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, User Interface (UI), API Design, Computer Vision

    4.8
    Rating, 4.8 out of 5 stars
    ·
    101 reviews

    Beginner · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Functions, Tools and Agents with LangChain

    Skills you'll gain: LangChain, LLM Application, Tool Calling, ChatGPT, Generative AI Agents, Prompt Engineering, Application Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    117 reviews

    Intermediate · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Query Languages, Vector Databases, Data Storage, Semantic Web, Unstructured Data, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    97 reviews

    Intermediate · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Transfer Learning, Embeddings, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Model Deployment

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Data I/O and Preprocessing with Python and SQL

    Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Preprocessing, Data Validation, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Query Languages, Data Pipelines, Pandas (Python Package), Data Collection, Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API), Authentications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular deeplearning.ai courses

  • 시퀀스 모델: DeepLearning.AI
  • الشبكات العصبية والتعلم العميق: DeepLearning.AI
  • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Building Agentic RAG with LlamaIndex: DeepLearning.AI
  • Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
  • Design, Develop, and Deploy Multi-Agent Systems with CrewAI: DeepLearning.AI
  • Open Source Models with Hugging Face: DeepLearning.AI
  • Functions, Tools and Agents with LangChain: DeepLearning.AI
  • Knowledge Graphs for RAG: DeepLearning.AI

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