ChatGPT & Qlik Sense – Application Development Master Class

ChatGPT & Qlik Sense – Application Development Master Class, available at $44.99, has an average rating of 4.13, with 182 lectures, 17 quizzes, based on 4 reviews, and has 65 subscribers.

You will learn about Engineer ChatGPT prompts using formal patterns e.g. Few shot, Meta Language, Template, Game Play, Flipped Interaction Introduce AI (ChatGPT) into your workflow to increase your productivity exponentially Create a customised GPT that will be your Business Intelligence and Retail Banking Mentor during this project Upload sample data to your GPT for analysis and design considerations Use your GPT to shape the Qlik Sense data model that will be used within the app Write-Test-Run SQL created by your GPT Your GPT will write Qlik Sense load scripts The GPT will code Set Expressions for you to use in your visualisations Updating your GPT with project documentation that it generated during your data modelling chats Your GPT assists with complex script development e.g. Master Calendar and Bridge Table creation This course is ideal for individuals who are Anyone interested or curious about AI (LLM's & ChatGPT) It is particularly useful for Anyone interested or curious about AI (LLM's & ChatGPT).

Enroll now: ChatGPT & Qlik Sense – Application Development Master Class

Summary

Title: ChatGPT & Qlik Sense – Application Development Master Class

Price: $44.99

Average Rating: 4.13

Number of Lectures: 182

Number of Quizzes: 17

Number of Published Lectures: 182

Number of Published Quizzes: 17

Number of Curriculum Items: 199

Number of Published Curriculum Objects: 199

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Engineer ChatGPT prompts using formal patterns e.g. Few shot, Meta Language, Template, Game Play, Flipped Interaction
Introduce AI (ChatGPT) into your workflow to increase your productivity exponentially
Create a customised GPT that will be your Business Intelligence and Retail Banking Mentor during this project
Upload sample data to your GPT for analysis and design considerations
Use your GPT to shape the Qlik Sense data model that will be used within the app
Write-Test-Run SQL created by your GPT
Your GPT will write Qlik Sense load scripts
The GPT will code Set Expressions for you to use in your visualisations
Updating your GPT with project documentation that it generated during your data modelling chats
Your GPT assists with complex script development e.g. Master Calendar and Bridge Table creation

Who Should Attend

Anyone interested or curious about AI (LLM's & ChatGPT)

Target Audiences

Anyone interested or curious about AI (LLM's & ChatGPT)

Turbo-charge your career with AI expertise

Embracing AI is not just about understanding technology, it’s about preparing for a future full of incredible opportunities.

Why should you learn AI, really?

AI skills are in high demand across various industries, offering lucrative career prospects & advancement. Moreover, AI has the potential to solve complex problems, create personalized experiences, increase your productivity, and even contribute globally to solving issues and challenges for humanity.

Why Enrol in This Course?

A few reasons spring to mind…

Hands-On Learning: Dive into real-world projects, from extracting data with PostgreSQL for a Retail Banking App to integrating ChatGPT for dynamic development assistance.

Immediate Application:Equip yourself with strategies and a mindset shift that you can apply right away to create powerful Qlik Sense business intelligence applications.

Interactive Format: Engage with dozens of mini-projects and quizzes to reinforce your learning and ensure you can apply knowledge effectively in your work.

Communication Mastery: Learn essential Prompt Engineering techniques to enhance your interactions with LLMs, making your queries more effective and your results more reliable.

Course Highlights:

Real World Data: Used for analytics and Qlik Sense devopment

Comprehensive Curriculum:Explore a detailed course outline that covers every aspect of using AI in app development, ensuring a thorough learning experience.

Practical Projects: Gain hands-on experience with real data and apps included in the course materials.

Future-Proof Skills: AI is not just a trend—it’s a fundamental shift in how technology supports work. Embrace it now to stay ahead in your career and improve your productivity.

This course will help you transform the awy you view & use AI in your professional life, making your interactions with technology not only more productive but also more innovative.

Check out the course curriculum and take the first step toward becoming a more adept and efficient developer.

Course Curriculum

Chapter 1: ChatGPT : A Primer for Prompt Engineering and Language Models

Lecture 1: Course Structure

Lecture 2: ChatGPT – That expert you always wanted by your side at work

Lecture 3: Is Prompt Engineering Important or Not ?

Lecture 4: The Chat User Interface and Settings (Part 1)

Lecture 5: The Chat User Interface and Settings (Part 2)

Lecture 6: How do LLM's work ?

Lecture 7: The Unpredictability Of Output

Chapter 2: Harnessing Prompts, Strategies, Patterns, and Advanced Techniques for Navigating

Lecture 1: What is a Prompt ?

Lecture 2: Prompt Influence

Lecture 3: With Prompts Everyone is a Programmer !

Lecture 4: Patterns for LLM's and the Persona Pattern

Lecture 5: Adding more information to the LLM

Lecture 6: Prompt Size Limitations

Lecture 7: Thinking of Prompts as Conversations

Lecture 8: Root Prompts

Chapter 3: Evolving Conversations with Patterns

Lecture 1: Question Refinement Pattern

Lecture 2: Cognitive Verifier Pattern

Lecture 3: Audience Persona Pattern

Lecture 4: Flipped Interaction Pattern

Chapter 4: Mastering the Few-Shot Prompt

Lecture 1: The Few-Shot Prompt

Lecture 2: Leveraging Few-Shot Learning for Actionable Intelligence

Lecture 3: Advanced Problem Solving with Few-Shot Prompts

Lecture 4: Refining Few-Shot Prompt Writing

Lecture 5: The Zero-Shot Prompt

Chapter 5: Large Language Model Proficiency : Reasoning, Coding and Self-Evaluation

Lecture 1: Chain of Thought Prompting

Lecture 2: AI-Driven Programming

Lecture 3: Using the LLM to Grade Itself

Chapter 6: Harnessing LLM Flexibility : Innovative Strategies for Enhanced Conversations

Lecture 1: The Template Pattern to Format Output

Lecture 2: Meta Language Pattern

Lecture 3: The Recipe Pattern

Lecture 4: Game Play Pattern

Lecture 5: Alternative Approaches Pattern

Chapter 7: Perfecting LLM Interactions for Optimal Results

Lecture 1: Ask for Input Pattern

Lecture 2: Combining Patterns in Prompts

Lecture 3: Tail Generation Pattern

Lecture 4: Outline Expansion Pattern

Lecture 5: Menu Actions Pattern

Lecture 6: Fact Check List Pattern

Lecture 7: Semantic Filter Pattern

Chapter 8: AI as a Development Methodology

Lecture 1: Mindset Management

Lecture 2: Bootstrapping the AI Conversation

Chapter 9: Your Banking Analytics Development Project Starts Here !

Lecture 1: You Just Got Hired to Build a Qlik Application , Now What ?

Lecture 2: The GPT is Your Customized Mentor (Part 1)

Lecture 3: The GPT is Your Customized Mentor (Part 2)

Lecture 4: The GPT Can be Tweaked !

Lecture 5: Generating Questions & Ideas for Stakeholder Meetings

Lecture 6: Identification of Primary Data Sources (Part 1)

Lecture 7: Identification of Primary Data Sources (Part 2)

Lecture 8: Exercise 9.1

Lecture 9: Exercise 9.1 – Demo

Lecture 10: Download and Install PostgreSQL (with pgAdmin)

Lecture 11: Restore the PostgreSQL Project Database

Lecture 12: Using the GPT for Planning and Execution (Part 1)

Lecture 13: Using the GPT for Planning and Execution (Part 2)

Lecture 14: Exercise 9.2

Lecture 15: Exercise 9.2 – Demo

Lecture 16: AI Generated SQL to Extract Data Samples

Lecture 17: Exercise 9.3

Lecture 18: Exercise 9.3 – Demo

Chapter 10: Creating the Database Model with Generative AI

Lecture 1: Section Work Flow

Lecture 2: Using AI to Analyze a Data Extract

Lecture 3: Documenting Your Project

Lecture 4: Exercise 10.1

Lecture 5: Exercise 10.1 – Demo

Lecture 6: Database modeling 101

Lecture 7: AI Works Out the Relationships Between Tables – The Prompt

Lecture 8: AI Works Out the Relationships Between Tables – Analysis

Lecture 9: AI Works Out the Relationships Between Tables – Testing

Lecture 10: Exercise 10.2

Lecture 11: Exercise 10.2 – Demo (Part 1)

Lecture 12: Exercise 10.2 – Demo (Part 2)

Lecture 13: AI Works Out the Relationships for Bulk Tables – The Prompt

Lecture 14: AI Works Out the Relationships for Bulk Tables – Analysis

Lecture 15: AI Works Out the Relationships for Bulk Tables – Testing (Part 1)

Lecture 16: AI Works Out the Relationships for Bulk Tables – Testing (Part 2)

Lecture 17: AI Fixes the Orphaned Table Relationship

Lecture 18: Exercise 10.3

Lecture 19: Exercise 10.3 – Demo

Lecture 20: The Final ERD – How We Got Here (Part 1)

Lecture 21: The Final ERD – How We Got Here (Part 2)

Lecture 22: The Final ERD – The Generator Prompt

Instructors

Paul Scotchford
Data Analyst and Qlik Development Specialist @ awari

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4 stars: 2 votes
5 stars: 1 votes

Frequently Asked Questions

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