Adam Bertram

Founder & Principal Consultant

ATA Learning, Inc.

Adam Bertram is a 25+ year IT veteran, former Microsoft MVP, and self-employed consultant who helps organizations replace repetitive manual work with generative AI automation and agent-based workflows. He’s a successful blogger, consultant, trainer, published author and freelance writer for dozens of technology publications.

Bio Overview

Adam’s primary focus today is generative AI automation and agent workflows—helping teams design and implement AI-driven systems that eliminate manual busywork, backed by nearly two decades of experience in PowerShell scripting and IT infrastructure automation. He’s an avid open-source contributor on GitHub (github.com/adbertram), where projects like AgentTrainer and CourseCraft reflect his current work in AI agents and automated content pipelines.

Beyond consulting, Adam is a prolific technical educator. He has authored over two dozen video courses for platforms like Pluralsight and LinkedIn Learning, written hundreds of published articles and built a following of more than 13,000 professionals across his content channels. He’s also a published book author, having written “PowerShell for Sysadmins” (No Starch Press) and “The Pester Book” (Leanpub).

Areas of Expertise

  • Generative AI automation and agent workflows
  • Business process automation (Zapier, Make)
  • Technical writing, training, and course creation

Credentials & Publications

  • Former Microsoft MVP (6x)
  • Author, “PowerShell for Sysadmins” (No Starch Press)
  • Author, “The Pester Book” (Leanpub)
  • 26+ published video courses (Pluralsight, LinkedIn Learning)
  • 400+ published articles across dozens of technology publications

Connect

Articles by the Author

RAG Pipeline
What is a RAG Pipeline? The Four Stages Explained
A RAG pipeline turns documents into answers in four stages, and every stage is a chance for retrieval and permissions to fail while everyone blames the model.
Agentic RAG Data & AI
Adam Bertram July 30, 2026
Vector Search
What is a Vector Database?
Vector databases retrieve by meaning, not keywords, and building that layer once keeps every AI feature from starting over.
Agentic RAG Data & AI
Adam Bertram July 30, 2026
Automate MFT
Agent Governance Starts Where the Data Leaves the Bank
AI governance is more than approving the model. It is showing evidence of where the model’s data came from and who was allowed to send it.
Automate MFT Digital Experience MOVEit Security and Compliance
Adam Bertram July 29, 2026
Secure File Transfer Solutions
From Data Pipeline to Decision Pipeline: Making Banking AI Explainable Before the Model Runs
AI governance keeps starting at the model layer, but explainability often starts with the file that fed the decision, before scoring ever runs.
Automate MFT Digital Experience MOVEit Security and Compliance
Adam Bertram July 22, 2026
Vector Search Isn't Enough - Why Single Strategy Retrieval Breaks at Scale
Vector Search Isn't Enough - Why Single-Strategy Retrieval Breaks at Scale
Vector-only retrieval misses exact terms, relationships and use-case-specific context, so multi-layer indexing and per-experience retrieval configuration decide whether agentic RAG stays trustworthy at scale.
Agentic RAG Data & AI
Adam Bertram July 16, 2026
Continuous RAG Evaluation in REMi - Progress Agentic RAG
Is Your RAG Actually Accurate - Inside REMI's Approach to Continuous Evaluation
Continuous RAG evaluation turns accuracy from a sampled opinion into scored, traceable evidence for governance and quality teams. Instead of one reviewer’s read on a handful of answers, every response gets scored for context relevance, answer relevance and groundedness, and those scores accumulate into a trend line a quality lead can actually inspect.
Agentic RAG Data & AI
Adam Bertram July 15, 2026
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