English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 5.5 Hours | 2.28 GB
Gain hands-on skills using 8 AI techniques (no coding!), and position yourself for this digital age (Level 1)
This course will provide students and professionals a 360 degree view of the current Artificial Intelligence techniques used in Business, Finance, Accounting and Auditing. Through a mix of lectures, hands-on exercises (code free!), case studies, reflection exercises and knowledge-check quizzes, this course will provide a quick and deep overview of Artificial Intelligence (AI) in business.
In this digital age, all careers have a computing element as digitization and automation comes to the forefront of business processes. Those who complete this course will be able to reposition themselves to initiate and implement AI innovation within their teams, and confidently walk into this AI age.
The 8 AI techniques that will be covered in this course include:
- Chatbot (hands-on software: IBM Watson)
- Natural Language Processing (hands-on software: RapidMiner with add-ons)
- Machine Learning (hands-on software: RapidMiner)
- Machine Vision (hands-on software: Google Apps)
- Speech Recognition (hands-on software: IBM Watson and Cortana)
- Internet of Things (hands-on software: MATLAB and ThingSpeak)
- Robotic Process Automation with Intelligence layer (hands-on software: Automation Anywhere)
- Smart Analytics (software: MindBridge Ai)
What you’ll learn
- Chatbots (AI that can interact in voice and text with humans)
- Robotic Process Automation + Intelligence (AI that automates business processes)
- Internet of Things (AI that enables devices to communicate directly without human intervention)
- Smart Analytics (AI that combines machine learning, business rules, expert knowledge and statistics)
- Machine Vision (AI that can interpret images, handwriting, and scanned documents)
- Natural Language Processing (AI that understands human language)
- Speech Recognition (AI that can comprehend human speech, identify speakers and tones)
- Machine Learning (AI that can analyze massive data and identifies patterns)
Table of Contents
Introduction
1 Welcome to the course
2 Course Outline
3 What is Artificial Intelligence
4 Why do we need Artificial Intelligence in Finance Accounting Auditing
5 Can Artificial Intelligence replace me in my profession
6 Did AI start yesterday
7 Is all the AI talk just hype
8 How can you reinvent yourself in this digital age
Section 2 Chatbots
9 Quick introduction to Chatbots
10 Step 6 Hands on – Recap of what we have covered with Chatbot development
11 Step 7 Hands-on – Integration with Slack
12 Chatbot applications in Finance Accounting Auditing
13 Chatbot Use Cases
14 Description of the hands on exercise
15 Step 1 Hands-on – Overview of IBM Watson
16 Step 2 Hands-on – Setting up the IBM Chatbot Environment
17 Step 3 Hands-on – Creating Dialog Skills for the Chatbot
18 Step 4 Hands-on – Adding the Discovery Service
19 Step 5 Hands-on – Adding Search skills to the Chatbot
Section 3 Speech Recognition
20 Introduction to Speech Recognition
21 General example of speech recognition software with emotion detection
22 Speech Recognition applications in Finance Accounting Auditing
23 Speech Recognition Case Study
24 Hands-on Interacting with Speech Recognition
Section 4 Natural Language Processing
25 Introduction to Natural Language Processing
26 Preprocessing text for Natural Language Processing
27 Natural Language Processing applications in Finance Accounting Auditing
28 Natural Language Processing Case Study
29 Step 1 Hands on – RapidMiner and Meaning Cloud sites
30 Step 2 Hands on – Exploring MeaningCloud features
31 Step 3 Hands on – Extracting online reviews for text analysis
32 Step 4 Hands on – Using MeaningCloud to perform Natural Language Processing
33 Step 5 Hands on – Understanding the output
Section 5 Machine Vision
34 Introduction to Machine Vision
35 Machine Vision applications in Finance Accounting Auditing
36 Machine Vision Case Studies (Accounting Auditing Finance)
37 Just for fun ) Illustration of Machine Vision Apps
Section 6 Machine Learning
38 Introduction to Machine Learning
39 Machine Learning Steps
40 Machine Learning applications
41 Machine Learning Case Study
42 Step 1 Hands on – Getting started on Machine Learning RapidMiner
43 Step 2 Hands on – Decision Trees
44 Step 3 Hands on – Random Forest and Logistic Regression
45 Step 4 Hands on – Building the ensemble
Section 7 Robot Process Automation (RPA) + Intelligence
46 Introduction to Robotic Process Automation + Intelligence
47 Step 8 Bonus Connecting bot to IBM Watson Chatbot via slack
48 Robotic Process Automation Case Study
49 Step 1 Hands on – Getting started on Automation Anywhere
50 Step 2 Hands on – Building the browser connector
51 Step 3 Hands on – Adding triggers
52 Step 4 Hands on – Bot opening excel
53 Step 5 Hands on- Opening an excel file
54 Step 6 Hands on – Copy and Pasting between apps
55 Step 7 Hands on – Troubleshooting
Section 8 Internet of Things
56 Introduction to Internet of Things
57 Internet of Things Case Study
58 Step 1 Hands on – Introduction to MATLAB
59 Step 2 Hands on – Introduction to ThingSpeak
60 Step 3 Hands on – Setting up Sensor Channels
61 Step 4 Hands on – MATLAB Apps
62 Step 5 Hands on – IoT Visualization and Time Control
63 Step 6 Hands on – IoT wrap up
Section 9 Smart Analytics
64 Introduction to Smart Analytics
65 Smart Analytics Case Study
66 Step 1Walkthrough of a Smart Analytics Software for audit – Navigating Software
67 Step 2Walkthrough of a Smart Analytics Software for audit – Inner workings
68 Step 3Walkthrough of a Smart Analytics Software for audit – Exploring output
Section 10 Bringing it all together
69 What we have covered to this point
70 Implementing AI Applications
71 AI implementation Case Study
72 The Future of AI in Accounting, Auditing and Finance
73 Concluding the course
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