Udemy – [NEW] AI Foundations for Technical Professionals 2026-7

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Description

[NEW] AI Foundations for Technical Professionals. This course is a comprehensive, conceptual framework for technical professionals to learn modern AI architecture, language models, processing costs, agent-based tools, and security of AI-based systems in a fully functional way without the need for lengthy coding. This course is designed to bridge the gap between introductory training and coding-heavy bootcamps. It often happens in business meetings that questions are raised about the causes of strange behavior or errors in AI models, and everyone expects technical engineers to have detailed answers. If someone is active in the field of systems engineering, infrastructure, information technology, or software architecture and intends to provide a correct and valid analysis of how these technologies work, this course will be a perfect choice for them. In this training program, all layers of the modern AI stack are examined in about five and a half hours of targeted training. The teaching method includes whiteboard explanations to solidify concepts and then real-world implementations. Throughout the course, the learning process revolves around a single practical project, building an internal support assistant called HelpDesk AI. First, the internal structure of the model is examined, then its costs and hosting location are measured, and organizational knowledge is added to it using the RAG method. In the next steps, the system is transformed into an intelligent agent, connected to real systems via the MCP protocol, and finally its security behaviors and vulnerabilities are analyzed. Along the way, learners learn how large language models work, what role tokens and context windows play in costs, how to make the right choice between hosted API models and local models, and understand advanced concepts such as Prompt Engineering, orchestration frameworks, and AI security. This course does not require coding or complex mathematical knowledge, and only general literacy in the field of technology is sufficient to learn its content.

What you will learn

Explaining how Generative AI and LLMs work: understanding concepts such as Tokens, Parameters, Context Windows, the difference between Training and Inference, and the causes of illusions in models
Estimating the real costs of AI and choosing the right model: Exploring the differences between LLM and SLM, comparing Hosted API with models running on a personal server via Ollama
Improving Prompt and RAG Engineering Skills: Using Few-shot and Chain-of-thought methods along with Embeddings and Vector Search and recognizing when to use them compared to Fine-tuning
AI Agents Performance Analysis: Examining the agent performance cycle, tool calling, subagents, orchestrators, and human-in-the-loop controls
A thorough understanding of the Model Context Protocol (MCP): Introduction to Hosts, Clients, Servers, and the practical connection of an MCP server.
Introduction to Orchestration Frameworks: Understand the use of tools like LangChain, LangGraph, and CrewAI in plain language
Identifying AI Security Risks: Exploring Prompt Injection Risks, Agent Overreach, and the Importance of Observability

This course is suitable for people who:

Solution Engineers & Technical Account Managers: People who need to explain AI in detail in customer demo sessions.
DevOps, Platform, and Cloud Engineers: People who have AI tools and agents integrated into their technology stack and need to analyze their operating logic.
IT professionals, system administrators, and support supervisors: Individuals responsible for evaluating, implementing, and supporting AI tools in the organization.
Software developers and architects: People who are looking to understand the big picture of AI systems but don’t want to go through lengthy Python programming bootcamps.
Technical Product Managers and Engineering Managers: People who need to clearly discuss concepts like Tokens, RAG, Agents, and MCP in planning meetings.

Course Description [NEW] AI Foundations for Technical Professionals

Publisher: Udemy
Instructor: Bryan Krausen
Training level: Beginner to advanced
Training duration: 5 hours and 29 minutes
Number of lessons: 37

Course syllabus as of 2026/9

[NEW] AI Foundations for Technical Professionals

Prerequisites for the [NEW] AI Foundations for Technical Professionals course

No prior AI experience needed. A little time with ChatGPT or Claude helps but is not required.
You will not write any code. Code appears on screen (a tool call uses JSON, an MCP config is a file) and I explain it as we go.
No math. Concepts like embeddings and vector search use plain-language analogies, not equations.
General technical literacy is the only real prerequisite. If you can explain what an API is, you are ready.
A computer and a web browser. Exercises run in the browser with free accounts, and the optional Ollama and MCP labs include no-install fallbacks.