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
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 1 votes
Frequently Asked Questions
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