
Learn how AWS machine learning services like SageMaker, Comprehend, Lex, Polly, and Transcribe help you train, deploy, and scale ML models, with text-to-speech and transcription capabilities.
Use Python boto3 to work with comprehend and extract key phrases, sentiment, and syntax from text. Explore how comprehend reveals pronouns and sentence structure in sample text.
Build a functional chatbot with Amazon Lex by defining intents, slots, and prompts, configuring responses, testing, and publishing to multiple messaging platforms.
Explore Amazon Polly's text-to-speech capabilities, customize pronunciation with lexicons, and experiment with languages, voices, pitch, and emphasis to synthesize speech.
Use Python boto3 to analyze an image, detect labels and extract text, aiding occupancy detection with labels and confidence scores.
Explore practical facial analysis with AWS in machine learning by detecting multiple faces, facial landmarks, and attributes such as age range, smiling, sunglasses, eye openness, and gender, with bounding boxes.
Explore celebrity recognition, a deep learning based detection and identification feature that indexes digital image libraries by celebrity, updating daily with new personalities, and offering opt-out privacy options.
discover Amazon SageMaker, a fully managed platform that simplifies training, deploying, and testing machine learning models, while optimizing performance and scaling across resources.
Learn how to create an ml model and explore various models through the creation process.
Machine learning engineer and data scientist are the two hottest jobs of 2020. To grab this job opportunity one should apply machine learning skills to solve complex problems of the real world.
Here in this course you'll going to learn various machine learning services provided by Amazon AWS and able to kick start your career. Anyone can enroll this learning path whether you're fresher or experienced.
This course is technology-driven will help you in seeking a lucrative job in machine learning domain. Enroll this course and showcase your skill set to the world.
In this learning pathway, you'll able to use Amazon AWS fundamental services and also integrate them in your Web, Android, IoT and Desktop Applications
Machine Learning Services of AWS which you'll deploy on the AWS cloud are:
Amazon Sagemaker to build, train, and deploy machine learning models at scale
Amazon Comprehend for natural Language processing and text analytics
Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
Amazon Polly to turn text into lifelike speech using deep learning
Amazon Rekognition has a wide range of features like Object and scene detection, Image moderation, Facial analysis, Celebrity recognition, Face comparison, Text in image and much more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
As mentioned earlier, this course is industry oriented, therefore it has lots of lot projects which helps you in applying machine learning skills. There is a section, completely focuses on AWS AutoML if you think that you're newbie, don't know how to ML algorithms. Don't worry for such scenario, AutoML plays a vital role. It will help you to job done in autopilot mode. Other than this you'll also learn to develop your chatbot and virtual assistant for your sites, helping your customers 24*7.
For Python Developers, who want to apply their machine learning skills on a higher scale than why to waste money on buying the resources. Use the power of cloud computing and implement all your machine learning skills with the help of Boto3, a python framework for managing AWS cloud services.
All the best !!!