daBongo LMS AI Training Courses

Students learn to apply ChatGPT to four high-value everyday task categories - organizing thoughts and priorities, summarizing long content, drafting everyday communications, and building personal systems - generating immediate time savings from their first session.

Students learn to create a ChatGPT account, send their first effective messages using the four-part opening message framework, follow up and iterate productively, use ChatGPT as a learning partner with the four-tier verification habit, and identify the five everyday task categories where ChatGPT delivers the most immediate value.

Students learn what information is safe and unsafe to share with ChatGPT, how OpenAI handles conversation data, what privacy controls they have, and how to maintain human oversight of AI-assisted decisions.

Students learn what ChatGPT actually is - and is not - how GPT language models process text, what the different model tiers mean for users, and how to apply the four-tier verification framework with a nuanced understanding of why verification is essential.

Students learn to use ChatGPT as a practical career support tool - tailoring resumes and cover letters with the three-input method, preparing for interviews using the STAR framework, researching career pivots with transferable skills analysis, and drafting professional communications.

Students learn to use ChatGPT as a systematic quality assurance partner - applying criteria-first review, logic and consistency checking, and custom review checklists to catch errors, gaps, and weaknesses before work reaches its audience.

Students learn to use ChatGPT as a rigorous thinking partner - surfacing hidden assumptions, running pre-mortem analysis, stress-testing plans, and using perspective-taking to understand decisions from others' viewpoints.

Students learn a professional writing workflow with ChatGPT - architecture-first planning, layered revision across content/structure/style, and audience calibration - producing documents that serve their readers effectively and sound authentically like the writer.

Students learn to use ChatGPT as a personalized tutor - designing targeted learning paths, applying active recall and the Feynman technique, and exploring new fields at calibrated depth - transforming passive information consumption into durable understanding.

Students learn the structural principles behind effective ChatGPT prompts - the five-component anatomy, context and constraints deep dives, structured output formats, and assumption-surfacing techniques - replacing guesswork with a systematic, repeatable approach.

Students learn ChatGPT's most powerful distinguishing capabilities - Custom GPTs for specialized AI personas, memory feature management, multimodal capabilities (vision, voice, and ChatGPT image generation), data analysis / file analysis tools for file and data work, web search / browsing for current web information, and 15 high-impact power-user workflows.

Students learn how to start their first Claude conversations confidently, follow up and iterate effectively, get explanations that actually help them learn, and use Claude for immediate everyday tasks.

Students learn what Claude is, how it processes language, what its limitations are, and how to build a realistic mental model before they begin prompting.

Students learn how to use Claude for practical everyday productivity - organizing tasks and decisions, summarizing content they don't have time to read in full, drafting personal and professional communications, and building simple systems that save time every week.

Students learn how to use Claude as a career partner - writing stronger application materials, preparing for interviews, researching career pivots, and building the professional communication skills that get results.

Students learn what information to protect when using Claude, how to handle sensitive topics responsibly, when to keep humans in charge of decisions, and how to choose the right Claude tier for their needs.

Students learn how to structure prompts with the right level of context, constraints, and format instructions to get precise, useful outputs from Claude.

Students learn how to use Claude as a personal learning system - breaking down complex subjects, building structured study plans, testing their own understanding, and accelerating skill development across any field.

Students learn how to use Claude's interface features - navigation, Custom Instructions, Projects, file uploads, and Artifacts - alongside the prompt command patterns that power users rely on to get faster, more precise results every time.

Students learn how to use Claude for goal definition, structured research, multi-step planning, and comparing approaches - moving from task executor to genuine thinking partner.

Students learn how to use Claude to draft professional documents, transform rough ideas into structured content, build reusable prompt templates, and iterate toward polished final outputs.

Students learn how to use Claude to check, verify, and improve their own work - including identifying logical gaps, catching errors, flagging assumptions, and knowing when human review is required.

Learn to use Grok as a structured thinking partner by defining clear goals, providing useful context, requesting structured output, iterating effectively, and applying verification habits.

Learn advanced practical workflows for organizing research, running structured review loops, supporting decisions with trade-off analysis, and building personal AI-assisted productivity systems.

Develop expert-level reasoning skills by mastering advanced prompting patterns, self-critique methods, multi-step problem decomposition, and structured decision frameworks.

Learn to design and maintain personal knowledge management systems, long-term review loops, and scalable workflows that combine reusable templates, verification habits, and clear human oversight.

Students with zero prior AI experience learn how to start, guide, follow up on, and get real value from their very first conversations with Google Gemini - building confidence and practical skill from the first session.

Students build the foundational mental model needed to use Gemini intelligently - understanding what it is, how it processes information, what its real-time web access means in practice, and how to verify its outputs responsibly.

Students learn to apply Gemini to four high-value everyday task categories - organizing thoughts and decisions, summarizing long content, drafting communications, and building simple personal systems - generating immediate time savings from their first session.

Students learn to use Gemini as a practical career support tool - tailoring resumes and cover letters, preparing for interviews, researching career pivots, and developing professional communication skills - with honest guidance about what Gemini can and cannot do for a job search.

Students learn what information is safe and unsafe to share with Gemini, how Google handles Gemini conversation data and what privacy controls they have, and how to ensure human judgment remains in charge of consequential decisions.

Students learn the structural principles behind effective Gemini prompts - the five-component anatomy, context and constraints, structured output formats, and assumption-surfacing techniques - building the skill that underpins every advanced AI workflow.

Students learn to use Gemini as a personalized learning partner - designing structured learning paths for new skills, using active recall and the Feynman technique to deepen retention, exploring new fields at calibrated depth, and accelerating professional development.

Students learn to use Gemini as a structured thinking partner - challenging assumptions, stress-testing plans, exploring problems from multiple angles, and surfacing blind spots before they become costly mistakes.

Students learn advanced drafting workflows with Gemini - building structured outlines before drafting, using layered revision techniques to improve any draft, adapting writing style and voice across audiences, and producing long-form content efficiently without losing quality.

Students learn to use Gemini as a systematic quality assurance partner - reviewing documents and outputs for logic, completeness, consistency, and accuracy gaps - while maintaining appropriate human accountability for final decisions.

Students learn Gemini's advanced feature set - connecting Google services through Extensions, creating custom AI personas with Gems, working with multimodal inputs (images, documents, audio), and applying 15 power-user workflows that go beyond standard conversations.

Students learn to access Perplexity AI, conduct their first effective searches, read and evaluate citations, and apply the three-question framework and four-tier verification standard that form the foundation of responsible AI use.

Students learn how Perplexity's search-to-AI synthesis pipeline works, what sources it draws from, why citation presence does not equal claim accuracy, and what the free vs. Pro feature comparison means for how they should use each.

Students learn to use Perplexity AI as a daily research and productivity tool - turning vague questions into answered action items, summarizing competing information, and building a minimum viable research system for recurring needs.

Students learn to use Perplexity AI's real-time search capability for company research, industry analysis, salary benchmarking with sourced verification, and professional communication preparation - giving job seekers a researched, credible edge.

Students learn the six categories of information never to enter into any AI research tool, Perplexity's specific data practices and privacy controls, how to evaluate source trust hierarchy, and the five categories requiring non-negotiable professional human review.

Students learn the five-component prompt anatomy adapted for Perplexity's search-first nature, context and constraint techniques that improve search precision, structured output requests, and Perplexity-specific prompting strategies for research tasks.

Students learn to use Perplexity AI's real-time research capability to design learning paths, explore unfamiliar fields with verified current information, and apply academic research habits to any learning goal.

Students learn to use Perplexity AI's research capability to test assumptions with real evidence, gather data for pre-mortem analysis, and research multiple stakeholder perspectives - making plans and decisions more evidence-grounded and rigorous.

Students learn to use Perplexity AI as a research partner for writing - integrating real-time sourced research into documents, synthesizing multiple perspectives, and verifying factual claims before publication.

Students learn to use Perplexity AI to verify claims in their own work, cross-reference information from multiple source types, conduct completeness research, and build systematic verification checklists for recurring review tasks.

Students learn Perplexity AI's most powerful distinguishing capabilities - Pro Search for deep multi-step research, Focus modes (Academic, Writing, Video, Reddit, Wolfram Alpha) for specialized source targeting, Spaces for collaborative research organization, and 15 power-user research workflows across professional use cases.