Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 4 Machine Learning Implementation and Operations
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 25m | Size: 313 MB
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the machine learning implementation and operations portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. This domain involves building machine learning solutions that are performance, available, scalability, resiliency, and fault tolerant. Noah explains using AWS environment logging and monitoring, building error monitoring, and using multiple regions and multiple AZs. He goes over how to use AMI/golden images and docker containers. Noah covers auto-scaling groups, as well as rightsizing instances, volumes, and provisioned IOPS. Plus, he shows you how to use load balancing and follow AWS best practices.

Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 3 Modeling
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 32m | Size: 393 MB
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the modeling portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. Noah explains when to use machine learning, the difference between supervised and unsupervised learning, and the types of models that are available. He shows you how to train the model using the appropriate data. This process includes splitting the data into training and validation sets, choosing the right optimizer and loss function, and understanding the trade-offs between different model choices. After the model is trained, Noah guides you through how to evaluate it to ensure that it is performing well. This evaluation includes choosing the right metrics, understanding the confusion matrix, and performing cross-validation. Finally, Noah goes over how to interpret the model to understand what it is doing and how it can be improved.

Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 2 Exploratory Data Analysis
Released: 02/2023
Duration: 18m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 218 MB
Level: Intermediate | Genre: eLearning | Language: English
Join MLOps expert and CTO Noah Gift to learn all about the exploratory data analysis portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. In this course, Noah explains how data preparation, feature engineering, and data visualization are essential for machine learning. He starts by covering data preparation for modeling, detailing how to identify and handle missing data; format, normalize, augment, and scale data; and data labeling tools. He then gets into feature engineering, the process of identifying and extracting features from data sets. Finally, Noah covers data visualization, illustrating graphs and clustering visualizations like scatterplots, histograms, box plots, and elbow plots.

Free Download AWS Certified Machine Learning - Specialty (MLS-C01) Cert Prep: 1 Data Engineering
Released 2/2023
MP4 | Video h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 29m | Size: 231 MB
Join MLOps expert and CTO Noah Gift to learn all about data engineering and prepare for the data engineering portion of the AWS Certified Machine Learning – Specialty (MLS-C01) certification. After walking you through the technology prerequisites and the tools you will use, Noah dives into creating data repositories, identifying and implementing data ingestion and transformation solutions, designing and implementing data warehousing solutions, and enabling data access and discovery. He also presents practical demos of AWS Batch, step functions, EMR Spark, and more.

Let's get in touch with Terraform and build an IaC for a Webserver
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.20 GB | Duration: 2h 54m

AWS Certified Machine Learning Specialty : Study Guide with Practice Questions & Labs - Data Engineering, Analysis and Modeling : First Edition - 2022 by IP Specialist
English | 2022 | ISBN: N/A | ASIN: B09QMV7TRZ | 430 pages | EPUB | 26 Mb
AWS MLS C01 - AWS Certified Machine Learning Specialty: Study Guide with Practice Questions and Labs - First Edition

Released 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 4h | Size: 680 MB
With AWS CloudFormation, DevOps professionals are able to create a collection of AWS and third-party resources, then easily provision, manage, and automate them. Join IT architect and Notre Dame professor Brandon Rich as he covers the skills you need to know to get the most out of AWS CloudFormation for enterprise.

Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.44 GB | Duration: 3h 39m
Learn to Provision & Deploy Serverless Apps from scratch with AWS CDK v2 &Typescipt (Lambda, DynamoDB,S3, API GW & more)

AWS Certified Database - Specialty: Exam Cram Notes: First Edition - 2022 by IP Specialist
English | 2022 | ISBN: N/A | ASIN: B09WJ98GGR | 122 pages | EPUB | 0.21 Mb
Our exam cram notes are a concise bundling of condensed notes of the complete exam blueprint. It is an ideal and handy document which provide you a quick view of the technological concepts related to the certification exam.

Distributed Serverless Architectures on AWS: Design and Implement Serverless Architectures
English | 2023 | ISBN: 1484291581 | 193 Pages | PDF EPUB (True) | 27 MB
Explore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components.