Course Taxonomy: Data & AI

AI for Executives

Posted on November 6, 2024 by -

Part 1: Introduction to Generative AI

  • What is Generative AI?
  • Current and emerging technologies
  • Overview of Impacts
  • Industry use cases and success stories

 

Part 2: Strategic Planning with AI

  • Aligning AI with business goals and strategies
  • Identifying AI opportunities within your business processes
  • Understanding the most immediately accessible value and initiatives
  • Workshopping Alignment: Mapping potential AI applications to business units

 

Part 3: Leadership in AI Implementation

  • Leading change and fostering an AI-ready culture
  • Understanding and leading the necessary technology stakeholders
  • Building in-house AI capabilities vs. partnering
  • Case Study Analysis: Real-world examples of successful executive leadership on AI projects

 

Part 4: Risk Management, Ethics, and Legal Liability Concerns

  • Navigating the ethical implications of AI
  • Managing data privacy and security risks
  • Developing a compliance framework for AI applications

 

Part 5: ROI and Metrics

  • How to think about AI-driven value
  • Setting up success metrics for AI projects
  • Tools for tracking and analyzing AI project performance
  • ROI expectations and reality checks

 

Part 6: Q&A and Wrap-Up

  • Open discussion to address specific concerns and scenarios from participants
  • Summary of key takeaways
  • Next steps and resources for further learning

Advanced Splunk Boot Camp

Posted on August 27, 2024 by -

Advanced Splunk Boot Camp

Part 1: Advanced Data Ingestion

  • Advanced Indexing Concepts
  • Handling High Volume Data
  • Data Parsing and Transformation
  • Exercise: Advanced Data Parsing Techniques

Part 2: Advanced Search Processing Language (SPL)

  • Advanced Search Commands
  • Data Models and Pivots
  • Creating and Using Macros
  • Exercise: Writing Advanced SPL Queries
  • Custom Commands and Scripts
  • Exercise: Developing Custom Commands
  • Transaction Searches and Anomalies
  • Exercise: Complex Searches and Data Correlation

Part 3: Performance Optimization

  • Search Performance Tuning
  • Resource Management
  • Index and Search Head Performance Optimization
  • Exercise: Optimizing Search Performance
  • Monitoring Console and Usage Dashboards
  • Exercise: Using Monitoring Console for Optimization

Part 4: Security and Monitoring

  • Role-Based Access Control (RBAC)
  • Data Integrity and Confidentiality
  • Auditing and Monitoring User Activity
  • Exercise: Implementing Security Best Practices
  • Incident Detection and Response
  • Exercise: Building Incident Response Dashboards

Part 5: Advanced Dashboard and Visualization

  • Advanced Dashboarding Techniques
  • Custom Visualization Options
  • Integrating with External Systems
  • Exercise: Creating Advanced Dashboards
  • Real-time Dashboards and Alerts
  • Exercise: Building Real-time Monitoring Dashboards

Part 6: Splunk Machine Learning Toolkit



  • Introduction to the Splunk Machine Learning Toolkit
  • Building Machine Learning Models in Splunk
  • Using Pre-built Machine Learning Algorithms
  • Exercise: Implementing Machine Learning Use Cases
  • Anomaly Detection and Predictive Analytics
  • Exercise: Building and Applying Predictive Models
  • Monitoring and Tuning Machine Learning Models

Introduction to AI & Machine Learning eLearning

Posted on June 18, 2024 by -

Part 1: Introduction to AI

  • Overview: What is AI and its significance?
  • History: Brief evolution of AI and its modern applications.
  • Ethics: Considerations on AI ethics, bias, privacy, and societal impacts.

Part 2: AI Concepts

  • AGI, ANI, ASI: Explanation of different AI levels and their implications.

Part 3: Machine Learning Basics

  • Goals: Objectives of ML-like prediction and pattern recognition.
  • Types:
    • Supervised Learning: Using labeled data for tasks like classification.
    • Unsupervised Learning: Identifying patterns in unlabeled data.
    • Semi-supervised Learning: Leveraging both labeled and unlabeled data.
  • Reinforcement Learning: Learning from interactions with an environment.

Part 4: Assessment

AI for Business Analysis

Posted on May 9, 2024 by -

Part 1: Understanding AI’s Role in Business Analysis

Part 2: Using AI to Jumpstart a Project

  • Applying prompt engineering techniques to plan and refine a product

Part 3: Organizing AI-Created Content

  • Transforming AI outputs and transforming them into coherent, valuable resources

Part 4: Crafting User Stories with AI

Part 5: AI and Stakeholder Interviews

  • Training simulated interviews by taking on
  • personas and responding to questions

Part 6: Potential Pitfalls and Social Risks

  • Detecting “hallucinations” and critically evaluating and validating AI results

Part 7: Requirements Analysis and Solution Design

  • Using AI to create many valuable BA artifacts such as process models and ERDs

Part 8: AI-Assisted UI Design

  • Transforming AI outputs into visual representations to produce UI prototypes

Part 9: Writing Tests with AI

  • Creating test scenarios and evaluating results to catch errors or gaps in coverage

Part 10: AI for Complete, Consistent, & Coherent Analysis

  • Strategies for responsible creation of AI-created artifacts under human supervision

Part 11: Creative Applications of Generative AI

  • Using generative AI for writing, education, and presentation design.

Part 12: Implementing AI-Driven Business Analysis

  • Responsibly leveraging AI's potential business analysis under human supervision

AI for Software Testing

Posted on May 9, 2024 by -

Part 1: Introducing Generative AI for Software Testing

Part 2: Let’s Test with AI

  • Use AI agents to generate and run tests

Part 3: Modelling for Testing

  • Apply different ways to structure a problem and organize the testing process

Part 4: Test Planning with AI

  • Use AI to help create an overall test strategy, using a Test Strategy Canvas and, Testing Quadrants

Part 5: Testing Single Functions

  • Learn how AI can assist with equivalence partitioning, boundary value analysis, state and preconditions when defining tests

Part 6: Evaluate Tests

  • Identifying missing and redundant tests as well as the level of test coverage

Part 7: Activities and Processes

  • Use AI to generate use cases in several forms (traditional, Given-When-Then, and graphical) and generate detailed test cases

Part 8: Planning the End Game

  • Create AI-generated test plans for UAT, alpha, beta, and usability testing

Part 9: Stories and Scenarios

  • Use AI to present a user story in terms of a set of scenarios that need to pass

Part 10: Automation

  • Use AI to generate automated test cases

Part 11: Quality Attributes & Non-functional Requirements

Part 12: Evaluating AI Readiness

  • Ethical considerations and emerging trends

AI for Project Management

Posted on May 9, 2024 by -

Part 1: Generative AI Enablement

  • AI Capabilities and Limitations
  • Best Practices for Interacting with LLMs
  • Identifying Automation Use Cases

Part 2: AI-Enhanced Project Management Environments

  • AI and Project Management Tooling
  • Implementing an Internal LLM

Part 3: Applying AI in daily PM work

  • Content generation and communication assistance
  • Dataset identification and capture
  • Sentiment Analysis for Stakeholder Feedback
  • Search and Information retrieval and extraction
  • Text Summarisation for Efficient Reporting

Part 4: Implementing AI within a Project Management Framework

  • Project Lifecycle and Governance
  • Risk, Stakeholder and Change Management

Part 5: Ethical Considerations in AI-assisted Projects

  • Data Privacy and Security
  • AI Bias
  • Legal and Compliance Considerations

Part 6: Developing your AI-enabled Project Management Approach

  • Current State Assessment
  • Creating an Adoption Roadmap

Part 7: Future Trends

AI & Machine Learning for the Enterprise Overview

Posted on May 1, 2024 by -

  1. Introduction to AI & Machine Learning
  2. Deeper Dive into Machine Learning
  3. Leveraging AI in Business & Decision Making
  4. Hot Trends for AI in Business: Large Language Models (LLM), Generative AI and GPT
  5. Basics of Neural Networks
  6. Natural Language Processing (NLP) & Sentiment Analysis
  7. Using AI for Image, Video, and Audio Processing
  8. AI for Business Technical Tools: Data Science, Deep Learning & The Cloud
  9. Practical Applications and the Future of AI in Business

AI Basics for Everyday Business Camp: Part 2

Posted on May 1, 2024 by -

Part 1: Expanding Your AI Vocabulary and Understanding GPT-Based Tools

  • Introducing and exploring GPT-based tools
  • Understanding how GPT-based tools leverage AI to provide value
  • Exploring use cases of GPT-based tools in various industries
  • Distinguishing between different AI models and algorithms
  • Understanding the evolution and future trends of AI

Part 2:Next-Level Engagement with AI: Enhancing Communication with GPT-Based AI Tools

  • Developing advanced skills to leverage GPT-based tools for improving customer communication
  • Building on previous communication skills with AI tools
  • Simulating customer service interactions with GPT-based tools like ChatGPT and InstructGPT
  • Deepening understanding of AI capabilities in customer service
  • Discussing AI-enabled customer segmentation and personalization
  • Exploring AI role in handling and resolving customer complaints
  • Lab: Simulating complex customer service interactions with GPT-based tools

Part 3: Streamlining Workflow with GPT-Based AI Tools

  • Learning how GPT-based tools can optimize workflows and automate tasks
  • Exploring tools like Trello AI, IFTTT
  • Understanding the AI integration in project management tools
  • Discussing the benefits of AI-driven task automation
  • Lab: Setting up an AI-integrated workflow using GPT-driven apps

Part 4: Enhancing Collaboration with GPT-Based AI Tools

  • Using GPT-based tools like ChatGPT to foster efficient teamwork
  • Exploring AI’s role in remote work and virtual collaboration
  • Understanding how AI can foster efficient teamwork
  • Using AI in tools like Microsoft Teams and Google Docs
  • Exploring AI’s role in remote work and virtual collaboration
  • Understanding how AI can improve documentation and sharing of knowledge
  • Lab: Collaborating on a project using GPT-driven suggestions and ideas

Part 5: Leveraging GPT-Based AI Tools for Smarter Decision Making

  • Using GPT-based tools to support data-driven decision-making and risk management
  • AI for business intelligence, beyond the basics
  • Understanding AI in risk assessment, resource allocation
  • Exploring the role of AI in strategic planning and decision making
  • Understanding how AI can analyze trends and forecast outcomes
  • Lab: Running a complex risk assessment scenario using GPT-based tools

Part 6: Boosting Personal and Team Productivity with GPT-Based AI Tools (2 hours)

  • Exploring how GPT-based AI personal assistants and project management tools can enhance productivity
  • Understanding AI in time management and task prioritization
  • Discussing how AI can enhance personal productivity and well-being
  • Exploring the role of AI in managing team productivity
  • Lab: Setting up and using a GPT-based AI personal assistant

Part 7: Advanced Applications of GPT-Based AI Tools in Business

  • Understanding how GPT-based tools can enhance customer experiences, marketing, HR, and sales
  • Exploring advanced use cases of AI in marketing, HR, sales, and more
  • Introduction to AI sentiment analysis, AI in recruiting, AI in sales forecasting
  • Understanding the role of AI in enhancing customer experiences
  • Discussing AI-driven personalization and predictive analytics in marketing
  • Lab: Using a GPT-based tool for sentiment analysis of customer feedback

Part 8: Future-Proofing Your Business with GPT-Based AI Tools

  • Identifying potential opportunities for GPT-based tool integration in your business and formulating a strategic AI plan
  • Discussing the future potential of AI in business
  • Identifying areas in one's own business for AI integration
  • Exploring potential challenges and solutions in AI adoption
  • Discussing the importance of continuous learning and adaptation in the AI landscape
  • The Role of Humans in an AI-Driven World
  • Lab: Developing a future AI strategy for a mock business using GPT-based tools

Bonus Topics / Addendum (can be self-paced)

  • Understand essential security considerations and best practices for using AI tools at work safely and effectively.
  • Permissions and access controls with AI tools
  • Considerations when sharing sensitive work data with AI
  • Understanding your organization's AI policies
  • Safe habits when using AI tools
  • Proactive steps to ensure your AI tool usage remains secure
  • Ensuring data privacy when working with AI

Part 9: The Ethics and Responsibility of AI and GPT Based Tools

  • Understand the ethical considerations and responsibilities of using AI in business
  • Privacy and data security in AI
  • Identifying and avoiding biases in AI
  • Legal considerations when using AI
  • Promoting responsible use of AI 

 

 

AI Basics for Everyday Business Camp: Part 1

Posted on May 1, 2024 by -

Part 1: Exploring AI in Today’s Business World

  • Quick View: AI Explained & Types of AI
  • Exploring AI's Role in Business
  • AI in Action: Current Trends, Skills & Roles in AI
  • Benefits and Risks of AI

Part 2: Meet Your New AI Friends & GPT Tools

  • Get to know common user-friendly AI tools for business
  • Exploring GPTs in action
  • Comparing tools & Matching the right AI tool to your business needs

Part 3: The ABCs of Prompt Engineering: AI Conversations for Beginners

  • Gain a foundational understanding of prompt engineering to effectively communicate with AI.
  • Basics of conversational AI & The Art of Crafting Prompts
  • Different Types of AI Prompts
  • Quick Guide to Effective Prompt Engineering
  • Refining Prompts: Making AI Work Harder for You
  • Managing AI’s Strengths & Weaknesses
  • Avoiding Common Pitfalls in Prompting
  • Quick Tips: Guide to Writing Great Prompts

Part 4: Boosting Personal Productivity and Efficiency with AI

  • Making AI Work for You
  • Implementing Day to Day AI: Tools to Use
  • Quick Guide for Implementing AI Intro Your Daily Workflow

Part 5: Powering Your Business with AI

  • Ways AI can boost productivity and efficiency in business 
  • AI-Enhanced Customer Service
  • Set Up a Quick ChatBot or Virtual Assistant
  • Fostering Team Productivity and Collaboration
  • Project Management with AI
  • Integrating AI with Business Software

Part 6: Leveraging AI for Business Intelligence and Decision Making

  • AI in Business Decision-Making
  • Data and AI in Business
  • Business Intelligence through AI
  • Market Research with AI
  • Risk Assessment Powered by AI
  • AI for Resource Allocation

Part 7: Staying Safe and Smart with AI Tools

  • Introduction to Data Security and AI
  • Keeping Data & Privacy Safe in the AI World
  • Quick Look: GDPR and California CCPA
  • Sharing Data: Do’s and Don’ts
  • Understanding your Organization's AI Policies
  • Guide to Ensure your AI Tool Usage Remains Secure
  • Safe Habits when using AI Tools

Part 8: The Ethics and Responsibility of AI

  • Understand the ethical considerations and responsibilities of using AI in business
  • Exploring Ethical AI / Responsible AI
  • Quick User’s Guide to AI Ethics
  • Identifying, Avoiding and Overcoming Bias in AI Systems
  • Legal considerations when using AI
  • Top Ten Quick Tips for Promoting Responsible AI

Foundations of Artificial Intelligence (ICP-FAI)

Posted on April 29, 2024 by -

1. Introduction to Artificial Intelligence

Evolution of AI

Understanding AI

  • Key concepts
  • Potential applications
  • Limitations of AI in the workplace
  • Practical applications and potential of AI
  • How AI differs from traditional computing

Pieces of the AI Puzzle

  • Machine learning
  • Deep learning
  • Algorithms
  • Data processing
  • Generative AI

Evolving State of AI

  • Why is AI evolving at such a rapid rate?
  • Artificial Narrow Intelligence (ANI) vs. Artificial General Intelligence (AGI)
  • Common myths and misconceptions surrounding AI

Exercise – (In the style of Jeopardy)

  • Identify concepts
  • Define terms
  • Which enabled the other?

2. Ethical and Legal Considerations of AI

Ethics in the Context of AI

  • Moral principles and guidelines
  • Ethical considerations to address

The Inherent Bias of AI

  • The impact of bias
  • Approaches and strategies to ensure ethical AI
  • Human validation of AI

Data Compliance and Privacy

  • Regulatory considerations (e.g. GDPR & HIPAA)
  • Compliance strategies

3. Prompt Engineering

Introduction to Prompt Engineering

  • The basics of effective AI Prompt Engineering
  • Recognizing well-crafted prompts that lead to useful, specific answers

Effective Prompts

  • Techniques for crafting prompts that produce accurate, reliable, and unbiased results
  • Recognizing when to revise prompts based on the AI's results
  • The importance and impact of context in prompt engineering
  • Creating prompts based on clearly identified goals

All Prompts are Not Created Equal

  • Contrast results from various LLMs and Generative AI tools
  • Sources for syntax guidance for different AI solutions
  • Patterns and strategies for crafting effective prompts Exercise
  • Use several prompting techniques with ChatGPT

4. Artificial Intelligence in the Enterprise

The Agile Advantage

Agile Mindset and AI

  • The connection between the agile mindset, values, and principles and AI
  • How a culture of learning, reflecting and adapting enables AI success

Agile Behaviors and AI

  • Applying iterative development, continuous feedback, and collaboration to AI solutions
  • How planning, designing, testing, and keeping AI systems up to date differs from other efforts.

Cross-Functional Teams and AI

  • The cross-functional skills needed in a team focused on AI (e.g., prompt engineering, data literacy, data science, software engineering, ethics, domain-specific knowledge)
  • Evolving the cross-functional AI team

5. Leveraging AI in the Organization

Business Value of AI

  • How AI can be used to create competitive advantages, optimize operations, and enhance customer engagement
  • Making strategic decisions about investing in, developing, or implementing AI solutions based on AI's business value
  • How AI supports and complements the skills and creativity of humans

Align AI with Strategy

  • Aligning AI initiatives with strategic objectives
  • Infrastructure to support AI initiatives
  • The cultural shift towards data-driven decision-making
  • Oversight for responsible AI governance

AI Initiative in the Real World

  • Examples of real-world AI initiatives
  • Types of AI solutions and their potential impacts on an organization

Exercise – Plan your Path Forward

  • What steps can you take to use AI right away?
  • What will you plan to do in the next few months?
  • What will take longer to achieve, but would be worth it?