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What you'll learn
- Cloud Computing
- Vertex AI
- Auto ML
- Conversational AI
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Requirements
- Knowledge of any programming language is not mandatory
- A system with a decent internet connection
- Dedication
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Curriculum
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Vertex AI
- Understanding ML workflow
- What is vertex AI
- Pricing
- Managing ML datasets with vertex AI
- Managed dataset hands-on
- Build & train ML model with vertex AI
- Training a model using AutoML vertex AI
- AutoML training & deployment
- AutoML prediction
- Clean up resources
- Overview of the custom model
- Enable API
- Create notebook instance
- Create container image
- Custom ML model training with vertex AI
- Deployment
- Prediction
- Image classification application overview
- Collection of yoga pose image dataset
- Build image classification model with vertex AI
- Deployment & prediction
- Vertex AI SDK
- Vertex AI SDK code walkthrough
- Vertex AI SDK hands-on
- What is Hyperparameter tuning
- Hyperparameter tuning
- Hyperparameter tuning mechanism
- Hyperparameter tuning hands-on
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Conversational AI
- Overview
- Speech-to-Text using UI Console
- Speech-to-text using GCloud
- Speech-to-text using the python library
- Different types of Speech recognition
- Asynchronous speech recognition demo
- Assignment Speech-text for streaming data
- Cloud Text-to-Speech overview
- TTS using python hands-on
- TTS list down voices available
- TTS basics
- TTS SSML to audio hands-on
- Assignment Translating text from a photo
- Cloud Natural Language AI Overview
- Analyze sentiment
- Sentiment analysis in different language
- Analyze entities in a string
- Classify text
- Analyzing syntax
- Analyzing entity sentiment
- Assignment
- Dialogflow CX overview
- DialogFlow CX basics
- Dialogflow CX basics integration
- DialogFlow ES basics
- Dialogflow ES basics integration
- intent matching
- Intent/Entity creation
- Follow-up intent
- Fulfillment
- Accessing parameter in fulfilment
- Integration
- Assignment Dialogflow
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Introduction
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Syllabus overview