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Deep Learning Courses

Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.


Popular Deep Learning Courses and Certifications


  • P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluating LLM Performance and Efficiency

    Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze & Build a Churn Prediction Model in R

    Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Data Analysis, Data-Driven Decision-Making, Statistical Modeling, R (Software), Feature Engineering, Applied Machine Learning, Logistic Regression, Data Transformation, Business Analytics, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google

    Google AI

    Skills you'll gain: Vibe coding, Brainstorming, Planning, Generative AI, Content Creation, Artificial Intelligence, Data Analysis, Presentations, Data Visualization, Business Communication, Responsible AI, Research, Project Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Nail Regression & Classification

    Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • M

    Meta

    Programming in Python

    Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging, Django (Web Framework), Cloud Hosting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Statistical and Predictive Modeling for Finance

    Skills you'll gain: Descriptive Statistics, Financial Data, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Predictive Modeling, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Statistical Methods, Model Evaluation, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google

    Automating Real-World Tasks with Python

    Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California, Irvine

    TOEFL Preparation

    Skills you'll gain: Oral Comprehension, Vocabulary, Literacy, English Language, Language Competency, Grammar, Writing, Language Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    708 reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular deep learning courses

  • Fundamentals of Machine Learning: Packt
  • Evaluating LLM Performance and Efficiency: Coursera
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Analyze & Build a Churn Prediction Model in R: EDUCBA
  • Google AI: Google
  • Nail Regression & Classification: Coursera
  • Programming in Python: Meta
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Statistical and Predictive Modeling for Finance : Coursera
  • Introduction to Neural Networks and PyTorch: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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