Courses covering everything from how a model learns to building enterprise AI systems. No paywalls, no prerequisites, no fluff.
AI is reshaping every organization. The people navigating that shift best are the ones who understand it clearly, not just the ones with the largest training budgets.
I built AJ University because that knowledge has historically lived behind expensive certifications, conference paywalls, or inside the heads of a small number of practitioners. None of that should be a barrier to understanding something that now touches every business decision.
These courses are for the analyst evaluating a vendor claim, the engineer shipping their first enterprise pilot, the executive deciding where to invest, and anyone stepping into this industry who wants to understand what is actually happening, not just what is being sold.
Every course includes six modules, a hands-on capstone, and a six-part practitioner blog series. No paywalls. No prerequisites.
What a model is, how the training loop works, data and tokenization, the transformer architecture, scaling and evaluation, and fine-tuning and alignment.
What a prompt is, the anatomy of a prompt, zero-shot and few-shot and chain-of-thought, prompt patterns, avoiding bad outputs, and applying it to your use case.
Vector databases, embeddings, chunking strategies, RAG pipelines, and evaluating retrieval quality.
Building the business case, choosing vendors, governance, risk, and leading an AI transformation.
Benchmarks, human evaluation, automated metrics, red-teaming, and the MEDFIT-LLM framework for domain-specific evaluation.
What alignment means, RLHF, Constitutional AI, jailbreaks, and what safety research looks like today.
Transformers, tokenization, pretraining objectives, RLHF and DPO, inference efficiency, and scaling laws. No black boxes.
What the shift to agentic AI demands from enterprise teams: failure modes, infrastructure, governance, use case selection, and an 18-month pilot-to-scale roadmap.
The role that ships enterprise AI in weeks, not years. Discovery sprints, rapid pilots, demos that close, handoff protocols, and how to grow as an FDE.
Board-ready AI fluency: business case frameworks, governance obligations under AI regulation, buy/build/partner decisions, the CAIO question, and an 18-month roadmap.
Vision-language models, document AI for PDFs and invoices, audio transcription and diarization, cross-modal retrieval, multimodal agents, and enterprise deployment.
Read AI papers critically, detect benchmark gaming, design internal evaluations, commission third-party research, and translate findings into board-ready decisions. For CTOs, Chief AI Officers, and CIOs.
The courses are free. For hands-on strategy work with your team, book a session.
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