daBongo LMS AI Training Courses

This course includes 4 lessons covering: Create a Better Task Brief, Use Follow-Up Questions, Turn Output into Checklists, Build a Small Prompt Library.

This course includes 4 lessons covering: Develop Better Content Ideas, Create a Script Outline, Polish Tone Without Losing Your Voice, Repurpose One Piece of Content.

This course includes 4 lessons covering: What OpenAI Tools Can Do, Writing Clear Prompts, Checking Answers and Reducing Mistakes, Everyday Workflow Practice.

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 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 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: Plan a Grok / xAI Workflow, Improve Grok / xAI Results with Follow-Ups, Review and Save a Grok / xAI Prompt.

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: Plan a Gemini / Google Workflow, Improve Gemini / Google Results with Follow-Ups, Review and Save a Gemini / Google Prompt.

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 3 lessons covering: Plan a Microsoft Copilot Workflow, Improve Microsoft Copilot Results with Follow-Ups, Review and Save a Microsoft Copilot Prompt.

This course includes 3 lessons covering: Plan a Perplexity Workflow, Improve Perplexity Results with Follow-Ups, Review and Save a Perplexity Prompt.