Exam Readiness: AWS Certified Machine Learning - Specialty

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Exam Readiness- AWS Certified Machine Learning - Specialty Course Overview

Enroll for the 1-day Exam Readiness: AWS Certified Machine Learning - Specialty certification training course from Koenig Solutions accredited by AWS. The AWS Certified Machine Learning – Specialty exam validates your ability to design, implement, deploy, and maintain Machine Learning (ML) solutions for given business problems. In this course you will learn how to prepare for the exam by exploring the exam’s topic areas including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations.

Target Audience:

This course is intended for Machine learning practitioners who are preparing to take the AWS Certified Machine Learning - Specialty exam

Learning Objectives:

After completing this course, you will be able to:

  • Identify your strengths and weaknesses in each of the exam domains.
  • Create a subsequent study plan to prepare for the exam.
  • Describe the technical topics and concepts making up each of the exam domains.
  • Summarize the logistics and mechanics of the certification exam and its questions.
  • Identify effective test taking strategies that can be used to answer exam questions

 

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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Exam Overview and Test-taking Strategies
  • Testing center information and expectations
  • Exam overview and structure
  • Content domains and question breakdown
  • Topics and concepts within content domains
  • Question structure and interpretation techniques
  • Practice exam questions
  • Domain 1.1: Data Repositories for machine learning
  • Domain 1.2: Identify and implement a data-ingestion solution
  • Domain 1.3: Identify and implement a data-transformation solution
  • Walkthrough of study questions
  • Domain 1 quiz
  • Domain 2.1: Sanitize and prepare data for modeling
  • Domain 2.2: Perform featuring engineering
  • Domain 2.3: Analyze and visualize data for ML
  • Walkthrough of study questions
  • Domain 2 quiz
  • Domain 3.1: Frame business problems as machine learning (ML) problems
  • Domain 3.2: Select the appropriate model(s) for a given ML problem
  • Domain 3.3: Train ML models
  • Domain 3.4 Perform hyperparameter optimization
  • Domain 3.5 Evaluate ML models
  • Walkthrough of study questions
  • Domain 3 quiz
  • Domain 4.1: Build ML solutions for performance, availability, scalability, resiliency, and fault tolerance
  • Domain 4.2: Recommend and implement the appropriate ML services and features for a given problem
  • Domain 4.3: Apply basic AWS security practices to ML solutions
  • Domain 4.4: Deploy and operationalize ML solutions Walkthrough of study questions Domain 4 quiz
Live Online Training (Duration : 8 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

700 + If you accept merging of other students. Per Participant Incl. Official Course-Book & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
650 Per Participant Incl. Official Course-Book & excluding VAT/GST
Online
12 Jun
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
03 Jul
09:00 AM - 05:00 PM CST
(8 Hours/Day)
AWS Customer Obsession Award in August 2022.
winner of the AWS Training Partner of the Year Award – APJ Region for 2022. The award was given in a glittering ceremony in Las Vegas attended by Subo
Course Prerequisites
  • 1-2 years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS cloud
  • Proficiency expressing the intuition behind basic machine learning algorithms and performing basic hyperparameter optimization
  • Understanding of the machine learning pipeline and its components
  • Experience with machine learning and deep learning frameworks
  • Understanding of and experience in model training, deployment and operational best practices

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?
on Trust Pilot
Student Name Feedback
Gaurav Verma A
United States
A1. Amazing :-)
Bavitha Ashokan
United States
A1. The trainer, Sachin Chauhan was sincere to answer to all the queries all of us had.He tried his best to make us understand the concepts and address all the queries that were out of the scope of the syllabus but would benefit the attendee's understanding levels
Rahul Munagala
United States
A1. Trainer is Good
Sripriya Anand
United States
A1. Instructor tone was apt and excellent to help understand the topic Topic being vast more detailing /coverage/time is needed

FAQ's


Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Yes, we do. For details go to flexi
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
You can request a refund if you do not wish to enroll in the course.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
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Yes, we also offer weekend classes.
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It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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Others

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