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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.


More to explore:

Popular Deep Learning Courses and Certifications


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    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

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    Coursera

    Integrate and Optimize AI Services Seamlessly

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

    Intermediate · Course · 1 - 4 Weeks

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    Rutgers the State University of New Jersey

    Global Procurement and Sourcing

    Skills you'll gain: Strategic Sourcing, Supplier Management, Procurement, Supplier Relationship Management, Supplier Performance Management, Negotiation, Vendor Management, Contract Negotiation, Request For Quotation (RFQ), Case Studies, Stakeholder Management, Contract Management, Purchasing, Market Analysis, Request for Proposal, Competitive Analysis, Risk Management, Vendor Contracts, Supply Management, Business Ethics

    4.7
    Rating, 4.7 out of 5 stars
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    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

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    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

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    Logical Operations

    Advanced Python: Data Science, Testing, and Distribution

    Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Deploying and Maintaining Production AI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Application Deployment, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making

    Intermediate · Course · 3 - 6 Months

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    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Unify Modalities: Cross-Modal Retrieval

    Skills you'll gain: Embeddings, Applied Machine Learning, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Image Analysis, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    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, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Measure Vector Similarity

    Intermediate · Course · 1 - 4 Weeks

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

  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Integrate and Optimize AI Services Seamlessly: Coursera
  • Global Procurement and Sourcing: Rutgers the State University of New Jersey
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Mastering Python for Data Science: Packt
  • Evaluating LLM Performance and Efficiency: Coursera
  • Advanced Python: Data Science, Testing, and Distribution: Logical Operations
  • Deploying and Maintaining Production AI Systems: Coursera
  • Deploy & Optimize ML Services Confidently: Coursera
  • Unify Modalities: Cross-Modal Retrieval: Coursera

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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