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Spark Courses

Spark courses can help you learn data processing, real-time analytics, machine learning integration, and big data management. You can build skills in distributed computing, data visualization, and optimizing performance for large datasets. Many courses introduce tools like Apache Spark, Scala, and Python, showing how these technologies are used to handle vast amounts of data efficiently and support AI applications.

Popular Spark Courses and Certifications


  • Status: Free Trial
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    LearnKartS

    AWS Certified Data Engineer Associate Exam Prep

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Data Engineering, Amazon S3, AWS CloudFormation, Amazon Redshift, Data Architecture, Cloud Security, Network Security, Kubernetes, Cloud Management, AWS Identity and Access Management (IAM), Git (Version Control System), Data Loss Prevention, Data Management, Query Languages, Amazon Elastic Compute Cloud, System Monitoring, Cloud Computing, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Whizlabs

    Data Science and Machine Learning Engineering on Microsoft Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Packt

    AWS Certified Data Analytics Specialty (2023) Hands-on

    Skills you'll gain: AWS Kinesis, Amazon DynamoDB, Amazon S3, Amazon Web Services, Data Pipelines, AWS SageMaker, Real Time Data, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Visualization, Cloud Storage, Data Presentation, Apache Spark, Dashboard, Apache Hive, Interactive Data Visualization, Apache Hadoop, Data Visualization Software, Database Development, Data Processing

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    AWS Certified Big Data - Specialty

    Skills you'll gain: Amazon Redshift, AWS Identity and Access Management (IAM), AWS SageMaker, Amazon Web Services, AWS Kinesis, Amazon DynamoDB, Identity and Access Management, Amazon S3, Encryption, Data Infrastructure, Data Pipelines, Apache Spark, Dataflow, Big Data, Apache Hive, Data Storage Technologies, Kibana, Data Visualization Software, Data Storage, Data Visualization

    Advanced · Specialization · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Orchestrate & Recover Real-Time Data Pipelines

    Skills you'll gain: Data Pipelines, Apache Airflow, Dataflow, Site Reliability Engineering, Disaster Recovery, Apache Kafka, Data Integrity, Data Infrastructure, Workflow Management, Real Time Data, Data Processing, Apache Spark

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Edureka

    Lakehouse Architecture and Delta Lake with Databricks

    Skills you'll gain: Transaction Processing, Data Lakes, Data Architecture, Databricks, Data Infrastructure, Data Pipelines, Data Warehousing, Data Integration, Apache Spark, Data Processing, Real Time Data, Big Data, Scalability, Performance Tuning, Data Quality, Data Storage Technologies, SQL

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, Data Processing, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular spark courses

  • AWS Certified Data Engineer Associate Exam Prep: LearnKartS
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Data Science and Machine Learning Engineering on Microsoft Azure: Whizlabs
  • AWS Certified Data Analytics Specialty (2023) Hands-on: Packt
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • AWS Certified Big Data - Specialty: Packt
  • Machine Learning with PySpark: Recommender System: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Orchestrate & Recover Real-Time Data Pipelines: Coursera

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