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Voice, Chat and Vision Automation Bundle

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Access
Lifetime
Content
3.5 hours
Lessons
37

Building Voice Apps Using Amazon Alexa

Alexa Skills for Echo & Other Amazon Devices

By Loonycorn | in Online Courses

Alexa, Siri, Cortana and Google Now — voice-activated personal assistants are one of the hottest trends in technology these days. They are a great way to convey complex information to your customers in a free-flowing, conversational way. Alexa is a great way to build them — an AWS service for building conversational interfaces for Echo, FireTV and a host of Alexa-aware devices. In this course, you'll learn how to start building apps for use with Alexa.

  • Access 37 lectures & 3.5 hours of content 24/7
  • Cover voice & text interfaces and current trends in human-computer interaction
  • Discover how Alexa, Lex, Echo, & other bits of the amazon ecosystem come together
  • Explore interaction models like utterances, intents, slots, prompts, & their resolution into API calls
  • Learn about fulfillment models
Loonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Introduction
    • You, This Course and Us (2:40)
  • Alexa Basics: Eco-system and Skill Concepts
    • Introducing Alexa (1:59)
    • Evolution Of Human Computer Interaction And Voice Interfaces (7:34)
    • Prereqs And Course Overview (2:53)
    • Alexa, Echo And AWS (5:57)
    • Skill Concepts: Invocations, Utterances and Intents (8:43)
    • Tools and Platforms: AWS, Amazon Developer Console and Echosim.io (8:17)
    • Types Of Skills (6:02)
  • Build a Basic Alexa Skill
    • Overview Of The Stock Market Tracker (4:27)
    • Utterance-Intent Mapping (4:45)
    • Financial Data From AlphaVantage (3:20)
    • Setup And Configure An Alexa Skill
    • AWS Lambdas (6:07)
    • Link the Alexa Skill with the Lambda Function
    • Set up and Test Lambda Code (7:59)
    • Code And Test the Launch Request (5:07)
    • Code And Test the Intent Request (4:53)
    • Handle Help And Stop Intents (5:03)
    • Test Using Echosim.io (1:41)
  • Multi-turn Dialogs for Rich Conversation
    • Slots As Request Configuration Parameters (6:23)
    • Slots, Prompts And Utterances (8:09)
    • Financial Data From Intrinio (2:28)
    • What Exactly are Slots? (5:06)
    • Configure the Dialog Model (8:42)
    • Handle Start, End and Launch Requests (7:00)
    • Handle the GetStockInfo Intent (9:50)
    • Handle Help, Stop and Cancel Intents (1:18)
    • Testing With Echosim.io (1:53)
  • Persist State Across Sessions
    • Remember Data Across Sessions (5:47)
    • Create A Dynamo DB Table (2:06)
    • Configure Full Access To Dynamo DB from Lambda (7:34)
    • Handle Start, End and Launch Requests (1:50)
    • Handle Add, Remove And List Stock Intents (8:03)
    • Test Using Echosim.io (1:12)
  • Build a Flash Briefing Skill
    • Understanding Flash Briefing Skills (6:20)
    • Set Up A Twitter RSS Feed (3:07)
    • Set Up A Flash Briefing Skill (4:19)

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Access
Lifetime
Content
3 hours
Lessons
32

Building Vision Apps Using Sikuli

Explore the Power of Machine Learning for Automating Unusual Stuff

By Loonycorn | in Online Courses

SikuliX is a scripting/automation technology that relies on pattern matching, and is available for use via Python or Java. Developed at the User Interface Design Group at MIT, it's a powerful and easy-to-use tech that uses image recognition to automate just about anything that happens on screen. In this course, you'll uncover all the secrets to Sikuli you need to start automating everything.

  • Access 32 lectures & 3 hours of content 24/7
  • Learn how to automate, script, & image-match w/ SikuliX
  • Explore OCR-mode in SikuliX
  • Discover unusual, specific use cases for SikuliX
Loonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Introduction
    • You, This Course, and Us (2:13)
    • Something Completely Fresh (10:53)
    • Installation (7:31)
  • Getting Stuff Done
    • Hello world (6:41)
    • Under the hood (4:34)
    • Opening up a calculator - the naive way (9:17)
    • Opening up a calculator - a smarter way (8:41)
    • Regions and Patterns (8:24)
    • Matching (4:09)
    • Working with Applications (6:38)
    • Typing into Applications (9:50)
    • System and Environment Variables (2:48)
  • Language Constructs
    • User Interactions (5:50)
    • Conditionals - If, else and elif (1:19)
    • Dynamic calculations using the calculator (9:04)
  • More Language Constructs
    • For-loops (5:51)
    • Hotkeys (6:14)
  • Sikuli and Java
    • Sikuli and Java (9:23)
    • Sikuli and Selenium (10:48)
  • Unusual Use-cases and Smart Sikuli
    • Working with Microsoft Word (5:41)
    • Drag-and-Drop (3:30)
    • System Power Settings via Checkboxes (4:02)
    • Deleting loads of emails in one go (5:05)
    • Locating icons in a crowded folder (4:36)
    • Emptying the Recycle Bin (4:40)
    • Facebook automation (3:01)
    • Skype automation (2:10)
    • Image searches inside large PDFs (3:59)
    • OCR introduced (4:03)
    • OCR with Excel (3:31)
    • Mass data downloads (3:18)
    • Automating a simple game (4:23)

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Access
Lifetime
Content
6 hours
Lessons
59

Using Elasticsearch and Kibana

Scalable Search & Analytics for Document Data

By Loonycorn | in Online Courses

Elasticsearch wears two hats: It is both a powerful search engine built atop Apache Lucene, as well as a serious data warehousing and Business Intelligence technology. This course will help you use the power of ES in both contexts.

  • Access 59 lectures & 6 hours of content 24/7
  • Learn how search works, & the role that inverted indices and relevance scoring play
  • Discover the tf-idf algorithm & the intuition behind term frequency, inverse document frequency and field length
  • Perform horizontal scaling using sharding & replication
  • Explore powerful querying functionality including a query-DSL
  • Use REST APIs - from browser as well as from cURL
  • Dive into Kibana for exploring data & finding insights
  • Cover aggregations — metrics, bucketing & nested aggs
Loonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • First Section
    • You, This Course, and Us (2:23)
  • Introducing Elasticsearch
    • Course Outline (3:00)
    • Course Materials
    • A Brief History of Search (7:51)
    • Steps in Search (8:14)
    • Inverted Index
    • Using the Inverted Index (5:19)
    • Lucene (7:20)
    • Elasticsearch Introduced (5:37)
    • Installing ES (8:43)
    • Clusters and Nodes
    • Indices and Documents (8:26)
    • Cluster Health (7:00)
  • CRUD Operations in Elasticsearch
    • Curl (7:20)
    • Create Index (8:15)
    • Create Document (8:20)
    • Retrieve Documents (5:23)
    • Update Documents (8:18)
    • Script Elements (4:40)
    • Delete (4:34)
    • mGet (4:39)
    • The Bulk API (9:06)
    • Bulk Loading (9:05)
  • The Query DSL (Domain-Specific Language)
    • Search Recap (4:21)
    • Random Data Gen (5:19)
    • Contexts (5:52)
    • Contexts (5:56)
    • Query Params
    • Request Body (9:03)
    • Source Filtering (8:32)
    • Full Text Search_Match (4:10)
    • Full Text Search_MatchPhrasePrefix (7:14)
    • Relevance (8:10)
    • TfIdf (6:06)
    • Common Terms (6:17)
    • Boolean Compound Queries (6:42)
    • Term Queries Boosting Terms (4:42)
    • Filters (6:01)
    • Wildcards (6:09)
  • Aggregations
    • Types Of Aggregations (3:59)
    • Metric Aggregations (7:12)
    • Cardinality Aggregations (9:07)
    • Bucketing Aggregations (5:31)
    • Bucketing Aggregations_2 (6:09)
    • Multilevel Nested Aggregations (5:13)
    • FilterBucketAggs (6:43)
  • Elasticsearch and Python
    • Pythonsetup (8:32)
    • Create Index (4:59)
    • Documents (5:07)
    • Search_Count (4:40)
  • Kibana
    • Kibana_elk (4:26)
    • Kibana_Install (2:48)
    • Mapping (7:51)
    • Loading Logs (6:37)
    • Discovery (6:49)
    • Visualize
    • Timelion (8:01)
    • Dashboard (3:50)
    • Anaconda And Pip (9:00)

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Access
Lifetime
Content
3.5 hours
Lessons
31

Building Chatbots with Google DialogFlow

Learn About Google's Answer to Amazon Lex

By Loonycorn | in Online Courses

Chatbots are voice-aware bots, i.e. computer programs designed to simulate human conversations with users. Chatbots have become ubiquitous across sites and apps and a multitude of AI platforms exist which help you get up and running with a chatbot quickly. This course introduces DialogFlow, a conversational interface for bots, devices and applications. It's Google's bot technology and a direct rival of Amazon Lex.

  • Access 31 lectures & 3.5 hours of content 24/7
  • Discuss voice & text interfaces and current trends in human-computer interaction
  • Explore interaction models such as intents, entities, contexts & their resolution into API calls
  • Manage the flow of conversations using linear & non-linear dialogs
  • Use webhooks to fulfill user intents & learn how to connect to external services to respond to queries
  • Deploy a flask app to Heroku
  • Understand how a chatbot can be added to your Slack workspace
Loonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • Section 0: You, This course And Us.
    • You,This Course And Us. (3:48)
  • Section 1 : The Big Picture
    • Course Outline (7:01)
    • Introduction To Chatbots (7:46)
    • Setting Up The Platform (6:47)
  • Section 2 : Building Blocks
    • Module Outline (2:05)
    • Agent Creation (5:18)
    • Exploring Agent Settings (6:52)
    • Default Intents (5:48)
    • Custom Intents (7:00)
    • Entities (8:27)
    • User Says (9:27)
    • Parameters and Responses (6:54)
    • Configuring BookRooms Intent (5:40)
    • Contexts (8:06)
    • Follow-up Intents (7:44)
  • Section 3 : Dialogs
    • Module Outline (2:29)
    • Linear Dialogs (5:35)
    • Non-linear Dialogs (8:45)
    • Non-linear Dialogs (contd) (7:35)
  • Section 4 : Fulfillment & Deployment
    • Module Outline (4:10)
    • Creating CheckWeather Intent (4:52)
    • Webhooks (4:52)
    • Setting Up A Flask App (5:16)
    • OpenWeatherMap API (4:27)
    • Adding Logic to Webhook (5:40)
    • Introduction To Heroku (5:37)
    • Deploying to Heroku Using GitHub (7:09)
    • Intent Fulfillment Using Webhooks (4:11)
    • Building A Slack App (4:50)
    • Integrating DialogFlow Bot With Slack App (6:40)
  • Appendix : Source Files
    • Resource Materials

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Access
Lifetime
Content
4.5 hours
Lessons
43

Building Chatbots with Amazon Lex

Learn About Voice & Chatbots for Slack, Facebook, & More

By Loonycorn | in Online Courses

Chatbots are a hot new technology. They're a great way to convey complex information to your customers in a free-flowing, conversational way. Amazon Lex, an AWS service for building conversational interfaces for any application using voice and text, is one of the leading ways to build them. Here, you'll learn how to do it!

  • Access 43 lectures & 4.5 hours of content 24/7
  • Discuss voice & text interfaces and current trends in human-computer interaction
  • Understand how Alexa, Lex, Echo & the other bits of the Amazon ecosystem come together
  • Explore interaction models such as utterances, intents, slots, prompts & their resolution into API calls
  • Use AWS Lambdas to fulfill user intents, & learn how AWS lambdas provide smooth, no-ops, auto-scaling code endpoints
  • Discover how a chatbot can be added to your Slack workspace
Loonycorn is comprised of two individuals—Janani Ravi and Vitthal Srinivasan—who have honed their respective tech expertise at Google and Flipkart. The duo graduated from Stanford University and believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

Course Outline

  • You, This Course and Us
    • You, This Course and Us (2:58)
  • The Big Picture: Lex, Alexa and AWS
    • Course Outline (8:01)
    • Course Materials
    • Lex and Alexa
    • Evolution Of HCI And Voice Interfaces (7:34)
    • Alexa Echo And AWS (5:57)
    • Invocations Utterances Intent (8:43)
    • AWS Signin (6:10)
    • Sample Bots (4:39)
    • Custom Bots and IAM (8:07)
    • Finish Bot Creation (4:53)
  • Interaction Models in Amazon Lex
    • Module Outline (5:23)
    • Creating Intents (5:02)
    • Slot Types (8:04)
    • Slots (9:50)
    • Slot Properties (6:04)
    • Sample Utterances (7:03)
    • Confirmations (8:17)
    • Configuring The Bot (4:39)
    • Test Order Coke (6:21)
    • Test Order Pizza Fail (6:31)
    • Test Order Pizza OK (7:40)
    • Cleaning Up Resources (6:22)
  • Fulfilment Models in Amazon Lex
    • Module Outline (5:49)
    • Weather Bot (4:39)
    • Built In Slot Types (7:17)
    • Setting Up Weather Bot (3:43)
    • Lambda Intro (7:08)
    • Lambda Blueprint (6:21)
    • Code Big Picture (3:42)
    • Lambda Handler (6:18)
    • Constructing Response (6:26)
    • Lambda Configuration (5:42)
    • Lex Lambda Configuration (4:25)
    • Open Weather API (6:09)
    • Invoking Open Weather API (9:20)
    • Importing External Libraries To AWS Lambda (7:57)
    • Versions Aliases And Publishing (9:24)
  • Third-party Apps: Chatbots in Slack
    • Module Outline (4:16)
    • Creating Slack Application (8:59)
    • Activating Lex Integration (6:12)
    • Configuring Stack App (8:09)
    • Testing Slack Bot (3:21)

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We want you to be happy with every course you purchase! If you're unsatisfied for any reason, we will issue a store credit refund within 15 days of purchase.
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