AWS SageMaker | Hands-on Tutorial For Beginners | Thinknyx

This tutorial dives into the capabilities of AWS SageMaker, a fully managed Machine Learning service designed to streamline ML workflows. We'll guide you through setting up SageMaker Notebooks and Studio, demonstrating how to leverage these tools for your machine learning projects.
Learn to streamline your ML workflows from data preparation to model deployment, and witness how SageMaker enhances the efficiency and effectiveness of your applications.
Complete Udemy Course Link: www.udemy.com/...
What's Covered in this Course?
The "AI Ecosystem for Absolute Beginners" course is designed to accommodate learners of all levels, from beginners to experienced professionals looking to explore the world of Artificial Intelligence. Acting as a foundational pillar, this course facilitates your journey into the AI ecosystem. Starting with the basics of AI, the course guides you through the lifecycle of AI applications and essential concepts. It also covers the basics of Machine Learning, Deep Learning, and Generative AI, supported by practical hands-on demos using AWS services such as Rekognition, Forecast, Comprehend, and Bedrock. Additionally, it also explores prompt engineering, featuring a comprehensive hands-on demonstration with ChatGPT, concluding with a capstone project focused on Generative AI.
Whether you're new to AI or aiming to deepen your understanding, this course is tailored to meet your needs.
What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) is a revolutionary technology that enables machines to mimic human-like behavior. In today's world, AI powers virtual assistants, autonomous vehicles, and personalised recommendations, transforming industries from healthcare to finance. By analysing large datasets and identifying patterns, AI algorithms continuously improve their performance, driving innovation and reshaping the way we work and live.
Course Structure:
Lectures
Demos
Quizzes
Assignments
Course Contents:
Introduction to AI Ecosystem
Getting Started with Artificial Intelligence (AI)
AI Evolution, Business Benefits, Real World Use Cases
Amazon Rekognition Service with Hands-on Demo for Label Detection, Facial Analysis and Capstone Project
Understanding Machine Learning (ML) and Real World Use Cases
Data Preprocessing Techniques, Model Evaluation and Validation
Amazon Forecast Service with Hands-on Demo for Time Series Forecasting
Getting Started with Deep Learning (DL) and Artificial Neural Networks (ANN)
Amazon Comprehend Service with Hands-on Demo for Sentiment Analysis
Getting started with GenAI
Core GenAI Algorithms and Workflow
GenAI Application Fields, Future Trends and ToolSet
Amazon Bedrock Service with Hands-on Demo for Text Generation, Image Generation and Chatbot)
Understanding Prompt Engineering
Prompt Engineering using ChatGPT
Potential Risks of AI
AI Ethical Considerations
Best Practices of AI
End to End Capstone Project for AI Ecosystem
All sections in this course are demonstrated Live, to guide and direct to create your own local environment, perform all exercises and learn by doing!!!
Video on Machine Learning with AWS SageMaker: • Machine Learning with ...
Video on Introduction to Machine Learning: • Introduction To Machin...
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[@drj8work]

Well Explained!!

[@wellstyledepot2]

Hello I am creating an restfull api on aws using sagemaker but after I creating endpoint it show me container is not started error how I solve this I also use linear regression model

[@luckymothukuri7235]

Thanks alot