
Explore IBM Watson and cognitive computing concepts, including text-to-speech and conversations, and see how deep learning, natural language processing, and real-time data analyze structured and unstructured information.
Discover how IBM Watson works as cognitive computing that handles unstructured data, learns from daily data, and uses natural language understanding to interpret user intent and provide domain-aware responses.
Explore the IBM Bluemix dashboard and IBM Cloud services, including containers, networking, storage, and databases, plus Watson AI features like language translator, speech to text, and machine learning.
IBM Watson Assistant uses machine learning to understand natural language and respond to customers, outlining architecture, intents, entities, and dialogue for building conversational apps.
Build a Watson assistant by creating a workspace, defining intents and entities, and adding responses for bookings and operations. Deploy the bot to channels such as Facebook, Slack, or Messenger.
Explore how IBM Watson Discovery enriches, indexes, and searches unstructured data to power insights in your applications. Leverage API and natural language understanding to transform and integrate insights into apps.
Explore how IBM Watson Discovery searches content, extracts insights, and spots patterns and trends to inform decision making, using dashboards, data collections, and queries.
Explore IBM Watson Knowledge Studio to train domain-specific natural language understanding, extract entities from content, and customize models with your data and import formats.
Create a custom Knowledge Studio model for natural language understanding, train with uploaded data, define entities, and deploy for interview tasks using IBM Watson.
Explore IBM Watson language translator, enabling practical multilingual translation and language identification across many languages, including Arabic, Chinese, Dutch, English, French, German, Hindi, and Japanese.
Explore how IBM Watson natural language classifier uses machine learning to assign short text to predefined classes, train with labeled data, evaluate performance, and support multiple languages.
Explore IBM Watson's natural language classifier to build custom models that classify sentences and map questions to best matching answers, with multilingual support and hands-on training.
Explore the IBM Watson natural language understanding service, examining features like categories, concepts, emotions, entities, keywords, relations, and sentiment with practical demonstrations.
Explore IBM Watson natural language understanding in practice, identifying sentiment, emotion, keywords, entities, and semantic roles, and learn to create custom analyses for various language tasks.
Explore how IBM Watson Personality Insights analyzes linguistic data from emails, texts, and social media to infer big five traits and needs and values.
Explore IBM Watson Personality Insights to derive psychological traits from transactional and social media data, enabling deeper customer understanding and targeted business decisions.
Explore IBM Watson speech to text and learn how to add speech transcription to applications. The service supports multiple languages and features like speaker labels and word timestamps.
Learn how IBM Watson Speech to Text transcribes speech into text, supports multiple languages, and how to set up credentials, create the service, and upload or record audio.
Explore how to use IBM Watson Speech to Text to transcribe an audio file, examine the generated transcript and its confidence score, and review practical steps for setup.
The AI revolution is here. Are you prepared? Machine learning is the most evolving technology which has changed the digital world.
We all are surrounded by numerous effective ML projects like IBM Watson, Google brain, Edgecase, Cortana, Alexa, tesla self driving car and many more.
All movie recommendation apps like IMDB, Netflix and many of them are using machine learning to add personalized features so that involvement of users could increase.
There are many more use cases of ML and AI in the real world and it is not possible for me to discuss all of them into description jokes apart if you really want to create one of them, then this course is only for you.
In this course you'll learn and deploy all the machine learning services using IBM Bluemix and Amazon AWS. This course covers from theoretical concepts to hands on deploying cloud services. It will make you job ready to grab high paying jobs.
You will be able to integrate the cloud services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.
Services covered in this learning path:
Watson Services (IBM Bluemix) like-
Watson Assistant to build and deploy chatbots and virtual assistants.
Watson Discovery to expose insights from the data by applying AI functions
Watson Speech to Text (STT) to easily convert audio and voice into written text.
Watson Text to Speech (TTS) to convert written text into natural-sounding audio in a variety of languages and voices.
Watson Language Translator helps in dynamically translate news, patents or conversational documents.
Watson Natural Language Classifier helps in interpreting and classify natural language with confidence.
Watson Natural Language Understanding to analyze text to extract metadata from content such as concepts, entities and sentiment.
Watson Visual Recognition is used to classify and search visual content using machine learning.
Watson Tone Analyzer to understand and analyze emotions and tones in written content.
Watson Personality Insight is used to predict personality characteristics, needs and values through written text.
Machine Learning Services (Amazon AWS) like-
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
Object and scene detection to detect object and scenes from the image
Image moderation to check unsafe content from the image
Facial analysis can easily detect when faces appear in images and videos and get attributes such as gender, age range, eyes open, glasses, facial hair for each.
Celebrity recognition to recognize any celebrity character from the image
Face comparison helps in comparing face from different images
Text in image to detect text
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
And many more things
All machine learning lovers are most welcome and enroll now and build application based on cognitive computing , AI and ML.