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AWS Machine Learning Engineering
AWS

AWS Machine Learning Engineering

The AWS Machine Learning Engineering course teaches you to build, train, deploy, and manage ML models using AWS services like SageMaker, Forecast, and Personalize. It equips you with practical skills to create scalable AI solutions for real-world applications

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

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About AWS Machine Learning Engineering

The AWS Machine Learning Engineering course gives you the skills you need to build cloud-based ML solutions from start to finish. It talks about data engineering, training models, and deploying them with AWS SageMaker and other services. You'll learn a lot about deep learning, forecasting, and recommendation systems. This course gets you ready to use machine learning on a large scale to make a difference in the real world.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

AWS Machine Learning Engineering Course Curriculum

Introduction to Machine Learning on AWS

Understand ML concepts, workflows, and AWS ecosystem.

Supervised & unsupervised learning
ML lifecycle & pipeline
AWS ML stack overview
ML on the cloud vs on-prem

Data Collection & Preprocessing

Learn to prepare and clean data for ML models.

Data ingestion with AWS Glue & Kinesis
Data wrangling in SageMaker Data Wrangler
Handling missing values & outliers
Feature engineering basics

Exploratory Data Analysis (EDA)

Gain insights before model training.

Descriptive statistics
Data visualization with QuickSight
Correlation analysis
Feature selection

Model Development with Amazon SageMaker

Build and train models at scale.

Built-in SageMaker algorithms
Training jobs & hyperparameters
SageMaker Autopilot
Custom model training with frameworks

Model Evaluation & Optimization

Ensure model accuracy and reliability.

Metrics (precision, recall, F1, AUC)
Cross-validation
Hyperparameter tuning with SageMaker
Bias detection with SageMaker Clarify

Model Deployment & Inference

Deploy ML models securely and at scale.

SageMaker endpoints
Batch inference vs real-time inference
Multi-model endpoints
CI/CD for ML (MLOps)

Machine Learning Pipelines & Automation

Automate ML workflows using AWS tools.

SageMaker Pipelines
Step Functions for ML orchestration
Feature Store
Model registry

Advanced ML & Deep Learning

Go beyond basics into advanced techniques.

Neural networks & deep learning
Computer vision with Rekognition
NLP with Comprehend & Bedrock
Generative AI integration

Security, Monitoring & Governance

Ensure responsible ML usage.

IAM for ML workloads
Monitoring with SageMaker Model Monitor
Responsible AI practices
Cost management strategies

Hands-On Projects & Exam Preparation

Apply skills to real-world projects and prepare for certification.

End-to-end ML pipeline project
Predictive analytics use case
Hands-on labs with SageMaker
Exam readiness & practice tests

AWS Courses

No related courses found

Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take AWS Machine Learning Engineering

IT Professionals

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Fresh Graduates

Job Roles For AWS Machine Learning Engineering

Key Projects

AWS Machine Learning Engineering

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Real-Time Fraud Detection System

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Demand Forecasting Model

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Personalized Recommendation Engine

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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is AWS Machine Learning Engineering?

Who should pursue AWS ML Engineering?

What skills are needed for AWS ML Engineering?

What AWS services are essential for ML Engineering?

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