Course Lectures are available on following Learning Platforms:
https://www.udemy.com/course/aws-machine-learning-a-complete-guide-with-python/?referralCode=9ADB4395937F7D656EB9
There are several courses on Machine Learning and AI. What is unique about this course? Here are the top reasons:
- Cloud-based machine learning keeps you focused on the current best practices.
- In this course, you will learn the most useful algorithms. Don’t waste your time sifting through mountains of techniques that are in the wild
- Cloud-based service is straightforward to integrate with your application and has support for a wide variety of programming languages.
- Whether you have small data or big data, the elastic nature of the AWS cloud allows you to handle them all.
- There is also No upfront cost or commitment – Pay only for what you need and use
In this course, you will learn with hands-on labs and work on exciting and challenging problems
What exactly will you learn in this course?
Here are the things that you will learn in this course:
- You will learn how to deploy a Notebook instance on the AWS Cloud.
- You will gain insight into algorithms provided by SageMaker service
- Learn how to train, optimize and deploy your models
In the AI Services section of this course,
- You will learn about a set of pre-trained services that you can directly integrate with your application.
- Within a few minutes, you can build image and video analysis applications – like face recognition
- You can develop solutions for natural language processing, like finding sentiment, text translation, and conversational chatbots.
- Learning algorithms is one part of the story - You need to know how to integrate the trained models in your application.
- You will learn how to host your models, scale on-demand, handle failures
- Provide a clean interface for the applications using Lambda and API Gateway
- Data management is one of the most complex and time-consuming activities when working on machine learning projects.
- With AWS, you have a variety of powerful tools for ingesting, cataloging, transforming, securing, visualization of your data assets.
- We will build a data lake solution in this course.
- If you are planning to get AWS Machine Learning Specialty Certification, you will find all the resources that you need to pass the exam in this course.
- Timed Practice Exam and Quizzes
- The source code for this course available on Git and that ensures you always get the latest code
- The ideal student for this course is willing to learn, participate in the course Q&A forum when you need help, and you need to be comfortable coding in Python.
My name is Chandra Lingam, and I am the instructor for this course. I have over 50,000 thousand students and spend considerable amount of time keeping myself up-to-date and teach cloud technologies from the basics.
I have the following AWS Certifications: Solutions Architect, Developer, SysOps, Solutions Architect Professional, Machine Learning Specialty. I am looking forward to meeting you.