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AWS Machine Learning Engineer Certification Course

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AWS Machine Learning Engineer Certification Course

Name: AWS Machine Learning Engineer Certification Course
Item: AWS Machine Learning Engineer Certification Course
Rating: 5
Author: Tanmoy Kar

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Edureka’s AWS Machine Learning Engineer Certification Course helps you prepare for the official AWS ML Engineer Associate certification. Learn to implement various AWS services for building end-to-end machine learning solutions. The key features of this course are:

Aligned with AWS Machine Learning Engineer Associate (MLA-C01) Exam
24 Hours of Live Instructor-led Training
5+ Industry Use Cases, 20+ Hands-on Demos
7+ Assignments & Knowledge Checks
Capstone Project

Join us today to get hands-on experience with state-of-the-art AWS services & acquire the necessary skills to become an accredited AWS ML Engineer.

1k+ satisfied learners Read Reviews

Why should you take AWS Machine Learning Engineer Certification Course?

The machine learning market is projected at USD79.29 B in 2024 and estimated to be worth USD503.40 B in 2030, at a CAGR of 36.08% — Statista.

AWS certification is rated as one of the most popular and lucrative cloud certifications in IT globally - Global Knowledge Study.

As per Indeed.com, the average annual salary for a machine learning engineer in the US is USD161,093, with reported salaries as high as US$246,073.

Curriculum

Introduction to AWS Machine Learning

Topics

Cloud Computing Essentials
Getting started with AWS
AWS Global Infrastructure
Key AWS Services
AWS Management Console and CLI
AWS Identity and Access Management (IAM)
AWS Compute Services
AWS Storage Services
Introduction to Artificial Intelligence
Machine Learning Fundamentals
Machine Learning: Advantages and Disadvantages
Supervised Learning: Classification
Supervised Learning: Regression
Unsupervised Learning
Reinforcement Learning
Planning a Machine Learning Project
Overview of AWS AI/ML Services
Introduction to SageMaker

Hands-on

Setting Up an AWS Account
Launching EC2 Instances
Working with S3

Skills

Navigating the AWS Management Console
Managing IAM Users and Policies
Launching and Managing EC2 Instances
Configuring S3 Buckets and Managing Data Storage
Understanding Machine Learning Concepts

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Preparing Data for Machine Learning Models with AWS

Topics

Data Collection
Exploratory Data Analysis
Data Visualization
AWS Data Sources and Services
Ingest, Extract, and Merge Data
Data Transformation
AWS Tools and Services for Data Validation and Bias Mitigation
Data Preparation
Configure Data for Model Training
Data Labeling with AWS
Data Ingestion with AWS
Data Transformation with AWS
Transforming Data Using AWS Glue

Hands-on

Performing Exploratory Data Analysis
Visualizing Data for Machine Learning Models
Implementing data ingestion pipelines
Dataset Splitting, Shuffling, and Augmentation
Transforming Data by Using AWS Glue
Analyze and Prepare Data with Amazon SageMaker Data Wrangler and Amazon EMR

Skills

Data Preparation
Exploratory Data Analysis
Data Visualization
Data Cleaning
Handling Imbalanced Data
Data Augmentation

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Feature Engineering

Topics

Feature Engineering importance
Role in machine learning pipelines
Feature Engineering Concepts
Types of Features
Feature Engineering Workflow
Engineering Numerical Features
Engineering Text Features
Feature Selection Techniques

Hands-on

Feature Engineering Use Case
Comparing model performance with and without feature engineering

Skills

Feature Engineering
Feature Selection

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Training the Machine Learning Models

Topics

Model Training Essentials
Modeling Approaches
AWS AI Services
Model Selection Considerations
Compute Environments
AWS Container Services
Building a Training Job with SageMaker Console
Techniques for Decreasing Training Duration
Incorporating External Models into SageMaker
Fitting Models
Optimizing Hyperparameters
Controlling Model Dimensions
Enhancing Pre-Trained Models
Version Control for Models

Hands-on

Implementing different modeling approaches
Model Training with Amazon SageMaker
Train a model using a built-in algorithm
Train a model using a custom script in script-mode

Skills

Training Models
Working with Amazon SageMaker
Hyperparameter Tuning
Model Versioning

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Evaluating Model Performance

Topics

Assessing Models
Methods for Evaluating Models
Measuring Model Performance
Evaluating Classification Performance
Analyzing Confusion Matrices
Using ROC and AUC-ROC
Metrics for Multi-Class Classification
Evaluating Regression Performance
Troubleshooting Convergence Problems
Resolving Convergence with SageMaker Debugger
Overview of SageMaker Clarify and Metrics
Understanding Model Outputs with SageMaker Clarify
Managing Experiments with SageMaker

Hands-on

Evaluating Classification Model Performance
Evaluating Regression Model Performance
Debug Model Convergence with SageMaker Debugger

Skills

Analyzing Model Performance
Interpret Model Outputs

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Model Integration and Deployment on AWS

Topics

Design Robust and Scalable ML Solutions
Track and Monitor AWS Infrastructure
Utilize CloudTrail and CloudWatch
Develop Error Tracking Systems
Implement Multi-Region and Multi-AZ Deployments
Develop AMIs and Standardized Images
Build Docker Containers
Set Up Auto Scaling Groups
Optimize Resource Allocation
Implement Load Balancers
Adhere to AWS Best Practices
Choose and Deploy Suitable ML Services
Comprehend AWS Service Limits

Hands-on

Building end-to-end Machine Learning Solution

Skills

Analyzing Model Performance
Interpret Model Outputs

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Cost-optimization and Securing AWS ML Workflows

Topics

Cost and Performance Optimization Essentials
Optimizing Cost for Data Storage
Data Labeling with AWS Ground Truth
AWS Sagemaker Data Wrangler
Building a Cost-optimized ML Model
Cost Control during Training and Tuning Phases
Cost Control in the Deployment and Management Phase
Implementing Security Practices
Artifact Management
Data Protection
Authentication and Authorization
Security Compliance

Hands-on

Data Labeling with AWS Ground Truth
Working with AWS SageMaker Data Wrangler
Building a Cost-optimized ML Model

Skills

Cost Optimization
Performance Tuning
Security Management

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Generative AI with Amazon Bedrock and Amazon Q

Topics

Amazon Bedrock Essentials
Amazon Bedrock Features
Working with Bedrock API
Building Generative AI Applications with Bedrock
Introduction to Amazon Q
Amazon Q Developer Basics
Amazon Q Architecture
Amazon Q Developer features
Working with Amazon Q Business
Generative BI with Amazon Q and Quicksight

Hands-on

Building Generative AI Applications with Bedrock
Working with Amazon Q
Understanding Generative BI with Q and Quicksight

Skills

Building Applications with Bedrock
Leveraging Amazon Q
Generative BI with Q and Quicksight

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AWS Machine Learning Use Cases (Self-paced)

Topics

Customer Churn Prediction
Personalized Product Recommendations for E-commerce
Fraud Detection for Financial Transactions
Automated Document Processing and Extraction
Sentiment Analysis for Customer Feedback

Hands-on

Predicting Customer Churn
Personalized E-commerce Product Recommendations
Financial Transaction Fraud Detection
Automated Document Extraction and Processing
Customer Feedback Sentiment Analysis

Skills

Building ML Models with AWS

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AWS Machine Learning Engineer Certification Course Details

What are the objectives of our AWS Machine Learning Associate Online Training?

Our AWS Machine Learning Associate Online Training aims to fully prepare you for the AWS Machine Learning - Associate (MLA-C01) test. During training, you will:

Acquire proficiency in data preparation techniques required for machine learning models.
Implement feature engineering techniques to improve model correctness and performance.
Discover effective ways to train machine learning models with AWS services.
Evaluate model performance using a variety of measures.
Integrate machine learning models into applications and deploy them with AWS services.
Investigate methods for improving model performance and lowering operating costs.
Adopt robust security policies to protect machine learning technologies.

By the end of this course, you will be well-prepared to pass the AWS Machine Learning - Associate exam, having gained practical skills and knowledge that are relevant to the exam topics, ensuring readiness for real-world AWS machine learning scenarios.

What are the prerequisites for Edureka's AWS Machine Learning Certification Training?

There are no prerequisites for this course. However, basic knowledge of Python Programming, Cloud Computing and AWS Fundamentals, and Working knowledge of Machine Learning will benefit the participants.

What is the syllabus of the AWS Machine Learning Associate Certification Course?

We will cover the following topics to help you prepare for the AWS Machine Learning Engineer Associate (MLA - C01) examination and gain an overall understanding of the machine learning lifecycle on AWS.

Introduction to AWS Cloud and Machine Learning
Data Preparation
Feature Engineering
Model Training
Model Evaluation
Model Integration and Deployment
Cost and Performance Optimization
Security Practices
Amazon Bedrock and Amazon Q

Do I need coding knowledge to take up this program?

No, you do not need to have any prior coding experience to enroll in this course. We will provide the required materials as prerequisites so that you can begin your preparation before the live class starts. However, any prior coding experience will be an added advantage for the participants.

What is the duration of the AWS Machine Learning Certification Course?

The duration of the AWS Machine Learning Certification Course is 24 hours.

What are the advantages of learning the AWS Certification Course from Edureka?

The AWS Machine Learning Associate Course by Edureka helps you to prepare for the certification exam and become a certified professional. You will have advantages like:

Access to instructor-led live sessions
Professional Community forum
24/7 expert support
Pre-requisite learning materials
Lifetime access to LMS, where presentations, quizzes, installation guides & class recordings are available

What are the system requirements for this AWS Machine Learning Certification Course?

The system requirements to attend this AWS Machine Learning Associate Certification Course Online include a minimum of 8 GB RAM, an Intel Core i3 processor or above, 20 GB HDD, and a stable internet connection.

How will I execute practicals in this AWS Certification Course?

In this course, you will work on Amazon's cloud servers and other services. You can create a Free Tier account on AWS, giving you access to all the AWS services. The stepwise guide for accessing these services will be available in the LMS, and Edureka’s support team will assist you 24/7 if you have any doubts.

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Testimonial Reviews

Anil AlgolePrinciple Consultant at Infosys

Experience with Edureka is world class. I took 2 courses Informatica PowerCenter 9.x and Tableau Cer ... Read More

Muralidhar GaddamDevOps Professional, Project/Program Management Corporate Trainer

I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecti ... Read More

Tanmoy Kar

The online course delivered by Edureka on big data, Hadoop - developer is really nice. The first thi ... Read More

Chandrasekhara Rao Chitiprolu

I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cass ... Read More

Suman RajaIT Analyst at Tata Consultancy Services Greater Philadelphia Area Information Technology and Services

Definitely there is no doubt in saying that all the instructors at Edureka are industry experienced ... Read More

Abhishek MishraExperience in Hadoop and Big Data Analytic, Java developer.

Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are r ... Read More

Video Reviews

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

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AWS Machine Learning Engineer Certification Course FAQs

What if I miss the AWS Machine Learning Certification Course classes?

You will never miss a lecture at Edureka! as you can always view the recorded session of the class available in your LMS.

So, what are you waiting for? Let’s enroll with Edureka and learn the best AWS Machine Learning Associate course online with our top instructors.

Will I get placement assistance after completing this AWS Machine Learning Engineer Certification Course?

To help you in this endeavor, we have added a resume builder tool to your LMS. Now, you will be able to create a winning resume in just three easy steps. You will have unlimited access to these templates across different roles and designations. You just need to log in to your LMS and click on the "create your resume" option.

Who are the instructors for the AWS Machine Learning Engineer Certification Course?

All the instructors at Edureka are industry practitioners with a minimum of 10–12 years of relevant experience. They are subject matter experts trained by Edureka to provide an awesome learning experience to the participants.

What if I have more queries after completing the AWS Machine Learning Engineer Certification Course?

Just give us a call at +91 98702 76459/1844 230 6365 (US Tollfree Number) or email at sales@edureka.co.

What if I miss a class of AWS Machine Learning Engineer Certification Course?

You will never miss a lecture at Edureka! You can choose either of the two options:

View the recorded class session available in your LMS.
You can attend the missed session or any other live batch.

What if I have queries after I complete this AWS Machine Learning Engineer Certification Course online?

Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you resolve queries during and after the completion of this certification course.

How soon after signing up would I get access to the Learning Content?

Post-enrolment, the LMS access will be instantly provided to you and will be available for a lifetime. You can access the complete set of previous class recordings, PPTs, PDFs, and assignments. Moreover, access to our 24×7 support team will be granted instantly. You can start learning right away.

Will the course material be available to learners after completion of the course?

Yes, once you enroll in the AWS Machine Learning Engineer Certification course, you will have lifetime access to the course material.

Is this course 100% online? Do I need to attend any physical classes?

This course is 100% online, and there will be no physical classes. This course can be accessed through the web on any device.

View course curriculum

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Structure your learning and get a certificate to prove it.

AWS Machine Learning Engineer Certification Course

Why should you take AWS Machine Learning Engineer Certification Course?

Curriculum

Introduction to AWS Machine Learning

Preparing Data for Machine Learning Models with AWS

Feature Engineering

Training the Machine Learning Models

Evaluating Model Performance

Model Integration and Deployment on AWS

Cost-optimization and Securing AWS ML Workflows

Generative AI with Amazon Bedrock and Amazon Q

AWS Machine Learning Use Cases (Self-paced)

AWS Machine Learning Engineer Certification Course Details

What are the objectives of our AWS Machine Learning Associate Online Training?

What are the prerequisites for Edureka's AWS Machine Learning Certification Training?

What is the syllabus of the AWS Machine Learning Associate Certification Course?

Do I need coding knowledge to take up this program?

What is the duration of the AWS Machine Learning Certification Course?

What are the advantages of learning the AWS Certification Course from Edureka?

What are the system requirements for this AWS Machine Learning Certification Course?

How will I execute practicals in this AWS Certification Course?

Testimonial Reviews

Video Reviews

AWS Machine Learning Engineer Certification Course FAQs

What if I miss the AWS Machine Learning Certification Course classes?

Will I get placement assistance after completing this AWS Machine Learning Engineer Certification Course?

Who are the instructors for the AWS Machine Learning Engineer Certification Course?

What if I have more queries after completing the AWS Machine Learning Engineer Certification Course?

What if I miss a class of AWS Machine Learning Engineer Certification Course?

What if I have queries after I complete this AWS Machine Learning Engineer Certification Course online?

How soon after signing up would I get access to the Learning Content?

Will the course material be available to learners after completion of the course?

Is this course 100% online? Do I need to attend any physical classes?

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