daBongo LMS AI Training Courses

This course includes 5 lessons covering: The AI Capability Map – From Conversation to Work Product, AI Applications in the Human World, Human-in-the-Loop Design, The AI Value Test – Time, Quality, Risk, and Reuse, Building Your First Paid-Level AI Workflow Brief.

This course includes 4 lessons covering: Your First ChatGPT Conversation – Setting Up and Making It Count, Following Up – Iteration and Improvement Techniques, Learning with ChatGPT – and Knowing When Not to Trust It, Five Everyday Tasks Where ChatGPT Delivers Immediate Value.

This course includes 4 lessons covering: What ChatGPT Is – and What It Is Not, How ChatGPT Processes What You Write, ChatGPT Model Tiers and the Microsoft Relationship, The Four-Tier Verification Framework – Applied.

This course includes 4 lessons covering: Organizing Thoughts, Priorities, and Decisions, Summarizing and Extracting Key Information, Drafting Everyday Communications, Building Simple Systems and Routines.

This course includes 4 lessons covering: Resumes and Cover Letters – Tailoring for Every Application, Interview Preparation – STAR Framework and Practice, Career Pivot Research, Professional Communications for Job Search.

This course includes 3 lessons covering: What Not to Share – Six Categories of Information to Keep Out of ChatGPT, OpenAI’s Data Practices and Your Privacy Controls, Keeping Humans in Charge – When ChatGPT Output Requires Human Judgment.

This course includes 3 lessons covering: The Five-Component Prompt Anatomy, Context and Constraints – The Two Highest-Leverage Components, Structured Output and Assumption Surfacing.

This course includes 3 lessons covering: Designing Your Learning Path, Active Recall and the Feynman Technique, Exploring New Fields at Calibrated Depth.

This course includes 3 lessons covering: Surfacing Hidden Assumptions, Pre-Mortem Analysis and Devil’s Advocate Thinking, Perspective-Taking.

This course includes 3 lessons covering: Architecture-First – Planning Before You Write, Layered Revision, Audience Calibration and Voice Preservation.

This course includes 3 lessons covering: Criteria-First Review, Logic, Consistency, and Completeness Checking, Building Custom Review Checklists.

This course includes 3 lessons covering: Custom GPTs – Specialized AI Personas, Memory, Multimodal Features, Advanced Data Analysis, and web search, 15 Power-User Workflows for ChatGPT.

This course includes 4 lessons covering: Projects, Memory, and Context Boundaries, Search, Deep Research, and Source Verification, Canvas, Files, Data Analysis, Images, and Voice, Tasks, Work, and Supervised Automation.

This course includes 4 lessons covering: GPTs, Skills, Apps, and Plugins – The Modern Capability Map, Evaluating and Using Third-Party GPTs and Plugins, Building a Reliable GPT, Connected Workflow Design and Human Approval.

This course includes 4 lessons covering: From Answers to Actions – Understanding Agentic Work, Safe Delegation, Permissions, and Approval Gates, Monitoring, Recovery, and Auditability, Real-World Agent Use Cases and Boundaries.

This course includes 5 lessons covering: ChatGPT vs. Codex – Choosing the Right OpenAI Tool, Repository Setup, Instructions, and Safe Environments, Feature Work, Bug Fixes, Tests, and Code Review, Terminal, Git, Pull Requests, and Deployment Boundaries, Codex for WordPress, Apps, and Real-World Product Work.

This course includes 4 lessons covering: OpenAI Platform Fundamentals and API Security, Responses, Tools, Structured Output, and Retrieval, Building Agents with Tools and State, Testing, Evaluation, and Production Operations.

This course includes 3 lessons covering: Capstone Brief – Build a Verified OpenAI Workflow, Capstone Execution – Evidence, Iteration, and Troubleshooting, Capstone Submission, Rubric, and Practitioner Reflection.

This course includes 4 lessons covering: Starting Your First Claude Conversation, How to Follow Up, Iterate, and Refine, Getting Claude to Explain Things – Learning with AI, Claude for Immediate Everyday Tasks.

This course includes 3 lessons covering: What Claude Is – and What It Is Not, How Claude Processes Your Prompts, Claude’s Knowledge Limits and When to Verify.

This course includes 4 lessons covering: Organizing Thoughts, Priorities, and Decisions, Summarizing and Extracting Key Information, Drafting and Improving Everyday Communications, Building Simple Systems and Routines with Claude.

This course includes 4 lessons covering: Resumes and Cover Letters That Speak to the Role, Interview Preparation with Claude, Researching Career Pivots and Exploring New Fields, Professional Communication Skills with Claude.

This course includes 3 lessons covering: What Not to Share With Claude – Privacy in Practice, Keeping Humans in Charge – When AI Output Requires Human Judgment, Choosing the Right Tool – Free Tier vs. Advanced Features.

This course includes 4 lessons covering: The Anatomy of an Effective Prompt, Providing Context and Setting Constraints, Requesting Structured Output and Specific Formats, Asking Claude to Surface Assumptions and Request Clarification.

This course includes 4 lessons covering: Breaking Down Complex Topics with Claude, Building a Learning Plan with Claude, Self-Testing and Knowledge Verification with Claude, Building Foundational Understanding in an Unfamiliar Field.

This course includes 7 lessons covering: Navigating the Claude Interface with Confidence, Custom Instructions – Shaping Claude’s Default Behavior, Projects – Building Persistent Workspaces for Ongoing Work, Working with Files, Documents, and Images, Artifacts – Creating Documents, Code, and Structured Content, Power-User Prompt Commands – The Vocabulary of Advanced Claude Users, Building Your Personal Claude Command Toolkit.

This course includes 5 lessons covering: Getting Started with the Claude Desktop App, What the Desktop App Does Differently, The Claude Browser Version – Features and Strengths, Configuration That Works Across Both, Desktop vs Browser – Choosing the Right Tool for Each Situation.

This course includes 4 lessons covering: Defining Goals Clearly Before You Ask, Using Claude for Research Organization and Synthesis, Building Multi-Step Plans Through Structured Conversation, Comparing Approaches and Stress-Testing Decisions.

This course includes 3 lessons covering: Drafting Professional Documents and Emails, Transforming Rough Ideas into Structured Content, Building Reusable Prompt Templates.

This course includes 3 lessons covering: Using Claude to Review and Improve Your Own Work, Identifying Hallucination, Uncertainty, and When to Verify, When Human Review Is Required – Non-Negotiable Checkpoints.

This course includes 5 lessons covering: What Is Claude Chat? – The Conversational Interface, What Is Claude Code? – The Agentic AI Assistant, What Is Cowork? – Your Connected AI Productivity Hub, Choosing Your Mode – Which Tool for Which Task, Working Across All Three – Multi-Mode Workflows.

This course includes 5 lessons covering: Prompt Hacks – Patterns That Unlock Better Results, Chat Interface Hacks – Features Most Users Never Find, Claude Code Hacks – Commands, Flags, and Shortcuts, Cowork Hacks – Skills, Connectors, and Routine Tricks, Building Your Personal Power-User Playbook.

This course includes 5 lessons covering: What Claude Code Is and How It Works, Setting Up and Configuring Claude Code, Your First Real Coding Sessions, File Navigation and Codebase Work, Building a Sustainable Daily Claude Code Workflow.

This course includes 6 lessons covering: How Claude Memory Works – What Persists and What Disappears, Custom Instructions – Your Standing Brief to Claude, Projects – Organized, Long-Term Persistent Context, CLAUDE.md – Teaching Claude Your World, The Auto-Memory System – Your Long-Term AI Brain, Backup, Portability, and Data Safety.

This course includes 5 lessons covering: The Anthropic Developer Platform – Architecture and Key Concepts, Authentication and Your First API Call, Choosing the Right Model for Your Use Case, Prompt Engineering for API Reliability, Moving from Prototype to Production.

This course includes 5 lessons covering: From Search to Conversation – How Claude Works Differently, Writing Better Prompts from Day One, Conversation Habits That Save Time and Effort, Claude for Writing, Research, and Analysis Tasks, Building Your Personal Claude Practice.

This course includes 5 lessons covering: Integrating Claude Code with Your Tools and IDE, Refactoring Existing Code with Claude Code, Debugging and Troubleshooting with Claude Code, Test Generation and Code Review with Claude Code, Multi-File Changes and Project-Scale Work.

This course includes 5 lessons covering: The Cowork Task Loop – Assign, Review, Steer, Working with Files and Documents in Cowork, Research Workflows with Web-Enabled Plugins, Using Skills and Plugins in Context, Steering Multi-Step Work Responsibly.

This course includes 5 lessons covering: The Messages API – Complete Request Structure, System Prompts and Conversation Management, Tool Use – Connecting Claude to Your Code, Streaming Responses, Production Patterns – Reliability and Cost at Scale.

This course includes 5 lessons covering: What AI Fluency Actually Means, Evaluating AI Output – A Critical Thinking Framework, Collaboration vs. Delegation – Choosing the Right AI Relationship, Prompt Thinking – Structuring Requests for How AI Works, Ethical AI Work Habits – Staying Grounded in Professional Practice.

This course includes 5 lessons covering: What MCP Is and Why It Matters, MCP Architecture – Servers, Clients, Hosts, and Transports, Building Your First MCP Tool, Resources and Prompts – The Other Two Primitives, Connecting Claude to External Services via MCP.

This course includes 5 lessons covering: How AI Language Models Work – Without the Jargon, What AI Does Well – The Capability Map, Where AI Falls Short – Real Limitations, Hallucinations, Bias, and Why AI Gets Things Wrong, Choosing When to Use AI and When Not To.

This course includes 5 lessons covering: Sampling – Servers That Make LLM Requests, Notifications and Real-Time Updates, File System Access and Security Boundaries, Transport Mechanisms for Production, Production Deployment – Testing, Monitoring, and Maintenance.

This course includes 5 lessons covering: What AI Can Do for a Small Business Right Now, Finding Your First AI Win – Where to Start, Building Team AI Habits That Stick, AI Risk and Responsibility for Small Business Owners, From Experimenting to Operating – Building a Sustainable AI Workflow.

This course includes 4 lessons covering: What Skills Are and How They Work, Writing Effective Skills, Distributing Skills Across Teams and Projects, Troubleshooting and Maintaining Skills.

This course includes 5 lessons covering: The Builder’s AI Mindset – AI Across the Full Build Cycle, AI-Augmented Problem Scoping and Research, AI in Design, Prototyping, and Architecture, AI in Development and Testing Workflows, Shipping Responsibly – Evaluation, Ethics, and Long-Term Ownership.

This course includes 4 lessons covering: What Sub-Agents Are and Why Context Management Matters, Spawning and Configuring Sub-Agents, Delegating Tasks Effectively to Sub-Agents, Building Multi-Agent Workflows.

This course includes 4 lessons covering: Defining Clear Goals, Success Criteria, and Rich Context, Requesting Structured Output and Effective Iteration, Creating and Maintaining Reusable Prompt Templates, Verification Habits, Uncertainty, and Knowing When to Stop.

This course includes 4 lessons covering: Organizing Research and Synthesizing Information, The Draft-Critique-Revise-Compare-Finalize Workflow, Using Grok for Decision Support and Trade-off Analysis, Building Personal AI-Assisted Productivity Systems.

This course includes 3 lessons covering: Accessing Grok – X Platform and grok.com, The Four-Part Opening Message, The Four-Tier Verification Framework.

This course includes 3 lessons covering: How Grok Generates Responses, Real-Time X Access and DeepSearch, What Grok Can and Cannot Reliably Do.

This course includes 3 lessons covering: Brain Dump to Action with Grok, Quick Research and Decisive Answers, Building a Minimum Viable Grok Habit.

This course includes 3 lessons covering: Resume Tailoring and Cover Letter Assistance, Interview Preparation with Grok’s Direct Feedback, Industry Research and Career Planning with Grok’s X Access.

This course includes 3 lessons covering: Six Categories Never to Share with Grok, Privacy Context and Responsible Use of Grok’s Capabilities, The Consequential Decision Test and Professional Review Standards.

This course includes 4 lessons covering: Advanced Reasoning Patterns – Chain-of-Thought, Tree-of-Thought, and Self-Consistency, Structured Self-Critique and Multi-Perspective Review Loops, Problem Decomposition and Explicit Assumption Tracking, Comparing Solution Paths and Documenting Trade-offs.

This course includes 4 lessons covering: Designing Personal Knowledge Management Systems with AI Assistance, Long-Term Review Loops and Continuous Improvement, Managing Context and Continuity Across Multiple Sessions, Establishing Clear Boundaries and Responsible Scaling.

This course includes 3 lessons covering: The Five-Component Prompt Framework for Grok, DeepSearch Activation and X Integration, Assumption Surfacing and Conversation Shaping.

This course includes 3 lessons covering: Skill Demand Research with DeepSearch, Deep Learning with Grok’s Direct Style, Custom Study Plans and Professional Currency with X Access.

This course includes 3 lessons covering: Structured Decision Analysis with Grok, Assumption Testing and Pre-Mortem Analysis, Multi-Perspective Thinking and Project Planning.

This course includes 3 lessons covering: Structure-First Writing with Grok’s Direct Feedback, Drafting, Improvement, and Tone with Grok’s Direct Style, Personal Voice and Pre-Submission Review.

This course includes 4 lessons covering: Starting Your First Conversation – What to Say and How to Say It, Follow-Up and Iteration – Getting Better Results Without Starting Over, Learning with Gemini – Level-Setting, Explaining, and Testing What You Know, Everyday Tasks – Five Ways to Put Gemini to Work Today.

This course includes 4 lessons covering: What Gemini Is – And What It Is Not, How Gemini Processes Your Prompts, Gemini and the Real-Time Web – What It Means for Accuracy and Verification, Gemini’s Unique Capabilities – Multimodal, Ecosystem, and More.

This course includes 4 lessons covering: Organizing Thoughts, Priorities, and Decisions, Summarizing and Extracting Key Information, Drafting Everyday Communications, Building Simple Systems and Routines.

This course includes 4 lessons covering: Resumes and Cover Letters – Tailoring for Every Application, Interview Preparation – Anticipating, Structuring, and Practicing, Career Pivot Research – Finding Your Next Direction, Professional Communication Skills for Job Search.

This course includes 3 lessons covering: What Not to Share – Six Categories of Information to Keep Out of Gemini, Google’s Data Practices and Your Privacy Controls, Keeping Humans in Charge – When AI Output Requires Human Judgment.

This course includes 4 lessons covering: The Five-Component Prompt Anatomy, Context and Constraints – The Two Highest-Leverage Components, Structured Output – Getting the Format You Actually Need, Surfacing Assumptions – Asking Gemini to Show Its Work Before Answering.

This course includes 3 lessons covering: Designing a Learning Path for Any New Skill, Active Learning Techniques with Gemini, Exploring New Fields – Calibrated Depth for Different Goals.

This course includes 3 lessons covering: Challenging Your Own Assumptions, Pre-Mortem and Devil’s Advocate – Stress-Testing Plans Before Implementation, Perspective-Taking – Exploring Problems from Multiple Angles.

This course includes 3 lessons covering: Architecture First – Building Outlines Before Drafts, Layered Revision – Improving Any Draft Systematically, Audience Calibration and Voice Preservation.

This course includes 3 lessons covering: Criteria-First Review – Evaluating Against a Standard, Logic, Consistency, and Completeness Checks, Building Custom Review Checklists for Your Work.

This course includes 4 lessons covering: Extensions – Connecting Gemini to Your Google World, Gems – Creating Custom AI Personas for Specific Tasks, Multimodal Gemini – Images, Documents, and Beyond, 15 Power-User Workflows for Gemini.

This course includes 4 lessons covering: Your First Productive Conversation – The Four-Part Opening Message, Follow-Up and Iteration – Getting Better Responses, Learning with Copilot – Research, Explanation, and Verification, Copilot for Everyday Tasks – Five High-Value Categories.

This course includes 4 lessons covering: What Copilot Is – and What It Is Not, How Copilot Processes Your Prompts, Copilot and the Microsoft 365 Ecosystem – Unique Power and Unique Considerations, The Four-Tier Verification Framework – Using Copilot Without Being Misled.

This course includes 4 lessons covering: Organizing Thoughts, Priorities, and Decisions, Summarizing and Extracting Key Information, Drafting Everyday Communications, Building Simple Systems and Routines.

This course includes 4 lessons covering: Resumes and Cover Letters – Tailoring for Every Application, Interview Preparation – STAR Framework and Practice, Career Pivot Research – Finding Your Next Direction, Professional Communications for Job Search.

This course includes 3 lessons covering: What Not to Share – Six Categories of Information to Keep Out of Copilot, Microsoft’s Data Practices and Your Privacy Controls, Keeping Humans in Charge – When Copilot Output Requires Human Judgment.

This course includes 3 lessons covering: The Five-Component Prompt Anatomy, Context and Constraints – The Two Highest-Leverage Components, Structured Output and Assumption Surfacing.

This course includes 3 lessons covering: Designing Your Learning Path, Active Recall and the Feynman Technique, Exploring New Fields at Calibrated Depth.

This course includes 3 lessons covering: Surfacing Hidden Assumptions, Pre-Mortem Analysis and Devil’s Advocate Thinking, Perspective-Taking – Understanding Decisions Through Others’ Eyes.

This course includes 3 lessons covering: Architecture-First – Planning Before You Write, Layered Revision – Improving What You Write, Audience Calibration and Voice Preservation.

This course includes 3 lessons covering: Criteria-First Review – Defining Quality Before Asking for Assessment, Logic, Consistency, and Completeness Checking, Building Custom Review Checklists.

This course includes 3 lessons covering: Copilot in Outlook and Teams – Supercharging Communication and Collaboration, Copilot in Word, Excel, and PowerPoint – Documents, Data, and Presentations, Copilot Pages, Plugins, and 15 Power-User Workflows.

This course includes 3 lessons covering: Accessing and Navigating Perplexity AI, Your First Effective Search – The Three-Question Framework, Reading Citations and the Four-Tier Verification Framework.

This course includes 3 lessons covering: The Search-to-Synthesis Pipeline, Source Quality and What Perplexity Draws From, Free vs. Pro – Understanding Your Access Level.

This course includes 3 lessons covering: From Vague Question to Answered Action Item, Comparison and Decision Research, Research Summarization and Information Management.

This course includes 3 lessons covering: Company and Role Research Before Interviews, Salary Benchmarking with Verified Sources, Industry Trend Research for Career Planning.

This course includes 3 lessons covering: Six Categories Never to Enter into Any AI Research Tool, Perplexity Data Practices and Privacy Controls, Source Trust and Professional Review Standards.

This course includes 3 lessons covering: The Five-Component Prompt Framework for Perplexity, Context, Constraints, and Structured Output, Perplexity-Specific Research Prompting Techniques.

This course includes 3 lessons covering: Designing Research-Backed Learning Paths, Exploring Unfamiliar Fields with Source Standards, Staying Current in Your Field.

This course includes 3 lessons covering: Research-Backed Assumption Testing, Evidence-Based Pre-Mortem Analysis, Multi-Source Perspective Research.

This course includes 3 lessons covering: Research-to-Writing Workflow, Source Synthesis for Professional Documents, Verifying Factual Claims Before Professional Publication.

This course includes 3 lessons covering: Verifying Claims Against Multiple Independent Sources, Completeness Research, Building Research Verification Checklists.

This course includes 3 lessons covering: Pro Search and Focus Modes, Spaces – Organized and Collaborative Research, 15 Power-User Research Workflows.

This course includes 3 lessons covering: Accessing Meta AI – Where to Find It, Your First Productive Conversation – The Four-Part Opening Framework, The Four-Tier Verification Framework.

This course includes 3 lessons covering: How Meta AI Generates Responses, Context Window and Platform Considerations, What Meta AI Can and Cannot Do.

This course includes 3 lessons covering: Brain Dump to Action – Clearing Mental Clutter, Quick Research and Summarization, Building a Minimum Viable Meta AI Habit.

This course includes 3 lessons covering: Resume Tailoring and Cover Letter Assistance, Interview Preparation, Professional Communication and Career Planning.

This course includes 3 lessons covering: Six Categories Never to Share with Meta AI, Meta AI Privacy Context and Data Practices, The Consequential Decision Test and Professional Review Standards.

This course includes 3 lessons covering: The Five-Component Prompt Framework, Context, Constraints, and Structured Output, Assumption-Surfacing and Conversation Shaping.

This course includes 3 lessons covering: Skill Demand Research and Learning Prioritization, Deep Learning – Explain It Three Ways, Building Custom Study Plans and Staying Current.

This course includes 3 lessons covering: Structured Decision Analysis, Assumption Testing and Pre-Mortem Analysis, Multi-Perspective Thinking and Project Planning.

This course includes 3 lessons covering: Structure-First Writing Workflow, Drafting, Improvement, and Tone Adaptation, Personal Voice and Pre-Submission Review.

This course includes 3 lessons covering: Criteria-First Review Techniques, Logic, Consistency, and Completeness Checking, Custom Review Checklists.

This course includes 3 lessons covering: Image Generation with “Imagine”, Platform Integration Across Meta’s Ecosystem, 15 Meta AI Power-User Workflows.