Future live training depends on interest
Understand the AI behind your work, using Claude + Salesforce = Claudeforce
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Mike is also developing an on-demand NCA-GENL video course with Pearson. No future live cohort is scheduled. The interest list helps Mike understand what people want to learn.
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For anyone preparing for NCA-GENL or wanting to learn Claude or Claudeforce.
No Salesforce experience is needed. We use a free Salesforce account for selected exercises with recommended readings, a knowledge base, and retrieval-augmented generation (RAG).
The three-week curriculum below describes the training. A future live cohort will run only if there is enough demand.
RAG, embeddings, prompt engineering, and the machine-learning fundamentals that anchor the largest slice of the exam.
Metrics, visualization, confounders, A/B testing, and interpreting results. The exam’s analytical core.
RAG, chatbot, and summarizer patterns, Python package roles, and monitoring, followed by ethics, privacy, and bias. Close with a domain-by-domain study plan and test-day strategy.
When an assistant answers from business data, someone needs to understand the sources, recognize missing information, and judge the result. The course uses Salesforce and Claude examples to make RAG, evaluation, data analysis, and trustworthy AI concrete while preserving NVIDIA certification preparation.
| Knowledge area | Weight |
|---|---|
| Core Machine Learning & AI Knowledge | 30% |
| Software Development | 24% |
| Experimentation | 22% |
| Data Analysis & Visualization | 14% |
| Trustworthy AI | 10% |
Three teaching sessions and optional office hours across the three-week course. Bring questions and get help with the hands-on work.
Revisit the recorded sessions on your own schedule as you practice and review.
LABS stands for Let’s Actually Build Something, and you get one every week. Week one, you start your own exam knowledge base and make the first real entry in it. Week two, you build a chart from a real public dataset and judge it yourself, because creating visualizations is on the exam and reading about it does not count. Week three, you grade a cited answer against your own notes, write a one-page trust sheet on an AI system you already use, and build a miss log that turns every practice question you get wrong into a written reason and the source that settles it.
Use the included NVIDIA Knowledge Base Starter Tool to turn selected readings into plain-language study notes with source links, objective mappings, and questions to revisit. Check the notes against the original sources. Keep the resulting files and use them with Claude or another assistant after the course.
Connect NVIDIA exam concepts to practical work with Claude and a free Salesforce account. Organize your study materials, explore RAG, and evaluate AI answers.
Assess your understanding by exam domain and revisit your study priorities as you learn. Get the readiness scorecard.
Complete the course and receive a personalized certificate with your name, track and a public verification link. This records course completion; professional certification requires the separate certification exam.
The tool turns each assigned NVIDIA reading into a plain-language note mapped to the exam objective it answers. The knowledge base you build is yours to keep, and it keeps working with Claude or any AI assistant after the exam.
AI and Salesforce trainer, O’Reilly author.
Learn through live instruction, practical examples, and hands-on work that connects course concepts to your own projects.
About Mike WheelerA future live cohort depends on demand. Register your interest to hear if training is scheduled.
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