Complete AWS Certified Machine Learning Specialty Exam- 2020

With full Practice Certification test, hand-on lab, featured interview guest, practical use cases
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Udemy
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English
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IT Certification
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Complete AWS Certified Machine Learning Specialty Exam- 2020
114
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9 hours
content
Apr 2020
last update
$13.99
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Why take this course?

🚀 Complete AWS Certified Machine Learning Specialty Exam- 2020 🎫

Headline: Dive into the Future of AI with AWS! 🤖💡

Course Description:

Best Value for Money, with Practice Test Included! We've updated this course to reflect the latest AWS Machine Learning and SageMaker features for 2020, ensuring you get the most up-to-date knowledge. Plus, you'll gain exclusive access to a full practice test to gauge your preparedness for the certification exam!

Expert Insights: Exclusive Interview with an AWS ML Specialist! In this course, you'll find an in-depth interview with an AWS Machine Learning expert, where we delve into:

  • 🛠️ An example of a real project utilizing AWS ML services.
  • 💪 Challenges faced during the project and how they were overcome.
  • 🎫 What companies are looking for when hiring for AWS specialists.
  • ✨ Ways to showcase your skills effectively.

Comprehensive Course Structure: This course is tailored to align with the actual exam structure and is segmented into five key areas:

  1. Data Engineering
  2. Exploratory Data Analysis
  3. Modeling
  4. Machine Learning Implementation and Operations

Key Topics Covered:

  • A detailed interview with an AWS Expert, providing practical insights into the role, important AWS tools, and more.
  • The basics of Data Science, Artificial Neural Networks, and Deep Learning.
  • Practical examples and use cases to bring concepts to life.
  • An in-depth look at services like S3, Glue, Kinesis, Data Pipelines, AWS Batch, Step Functions, and more.
  • Mastery of tools such as scikit_learn, numpy, panda, Athena, Quicksight, and EMR.
  • Understanding of Apache Spark and feature engineering.
  • Hands-on practice with SageMaker, including Ground Truth and Built-in Algorithms.
  • Deep Learning basics and evaluating machine learning models using a confusion matrix.
  • Regularisation techniques to improve model performance.
  • A comparison of various AWS services for better service selection.
  • An overview of High Level Machine Learning Services like Polly, Transcribe, Lex, Rekognition, and more.
  • Security best practices on AWS.

Enroll today to embark on your journey towards mastering AWS Certified Machine Learning Specialty and unlock a world of AI possibilities with Amazon Web Services! 🌟

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3053000
udemy ID
26/04/2020
course created date
24/09/2020
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