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Discover the top 8 AI courses from Amazon in 2025:
1. Generative AI Learning Plan
Duration: 11 Hours | Courses: 5
- to Generative AI
- Planning a Generative AI Project
- Amazon Bedrock Getting Started
- Foundations of Prompt Engineering
- Building Generative AI Applications
Enroll Here
2. Generative AI Learning Plan for Decision Makers
Duration: 3 Hours | Courses: 3
- to Generative AI – Art of the Possible
- Planning a Generative AI Project
- Building a Generative AI-Ready Organization
Enroll Here
3. Foundation of Prompt Engineering (stand-alone)
Duration: 4 Hours
4. Low-Code Machine Learning on AWS
Learn to build ML models for proofs of concept (POCs) and assist data scientists in identifying ML model candidates.
Enroll Here
5. Building Language Models on AWS
Duration: 5h 30m
Learn to build, train, and tune language models on AWS using SageMaker.
Enroll Here
6. Amazon Transcribe Getting Started
Duration: 1h 30m
Learn to convert speech to text using Amazon Transcribe.
Enroll Here
7. Machine Learning Learning Plan
Duration: 12h 13m | Total 10 courses
A beginner-friendly plan to start a career in machine learning.
Enroll Here
You Should Know:
Here are some practical commands and tools related to AI and machine learning:
- AWS CLI Command to List SageMaker Models:
aws sagemaker list-models
-
Train a Model Using AWS SageMaker:
aws sagemaker create-training-job --training-job-name my-training-job --algorithm-specification TrainingImage=382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:latest --input-data-config '[{"ChannelName":"train","DataSource":{"S3DataSource":{"S3DataType":"S3Prefix","S3Uri":"s3://my-bucket/train/","S3DataDistributionType":"FullyReplicated"}}}]' --output-data-config S3OutputPath=s3://my-bucket/output/ --resource-config InstanceType=ml.m5.large,InstanceCount=1 --stopping-condition MaxRuntimeInSeconds=3600 --role-arn arn:aws:iam::123456789012:role/service-role/AmazonSageMaker-ExecutionRole-20200101T000001 -
Transcribe Audio Using Amazon Transcribe:
aws transcribe start-transcription-job --transcription-job-name my-transcription-job --media MediaFileUri=s3://my-bucket/audio-file.wav --language-code en-US
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List All AWS AI Services:
aws sagemaker list-algorithms
-
Check AWS Bedrock Status:
aws bedrock describe-model --model-id my-model-id
What Undercode Say:
These free AI courses from Amazon are a goldmine for anyone looking to upskill in artificial intelligence, machine learning, and cloud-based AI solutions. With hands-on experience in AWS tools like SageMaker, Bedrock, and Transcribe, you can build, train, and deploy AI models efficiently. The provided commands and tools will help you get started with practical implementations, ensuring you’re well-equipped to tackle real-world AI challenges. Don’t miss this opportunity to learn from one of the tech giants!
Note: Telegram and WhatsApp promotions have been removed.
References:
Reported By: Anthara Ai – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅


