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AI workflow and a neural-network model

BEAT IT · CAREER LEARNING

AI Engineer

Build AI that solves real problems.

Video · Reading · AI Tutor · Resources · Labs · Real Job Practice

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YOUR LEARNING STUDIODeploying & Monitoring AI

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Course content5 sections

18 lessons currently listed

YOU ARE HEREDeploymentAI service architecture and API boundaries

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BEAT IT TRAINING & STAFFING

Deploying & Monitoring AI

Deploy AI services with monitoring, evaluation, security, and cost controls.

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Explore the AI Engineer roadmap.

Get a feel for the work. See what you’ll learn. Take your next step.

BEAT IT CAREER PATHS · 11 COURSES

AI Engineer

Build, secure, and deploy AI applications through practical projects.

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Free video previewNo sign-in neededLearn at your pace

Best forDevelopers, integration engineers, data professionals, and career changers building applied AI engineering skills

Career outcomesAI Engineer, Generative AI Engineer, LLM Application Engineer, AI Integration Engineer

Your roadmap

Build skills in the right order.

Every phase adds knowledge, practice, and a portfolio result you can explain during an interview. Select an available course below to open its Video Lessons and Reading Lessons tabs.

01

Beat IT AI Foundations

AI engineering foundations

Build the Python, data, API, and machine-learning foundation needed for applied AI work.

AI conceptsPythonDataAPIsMachine learning

Courses in this step

AI FundamentalsPlanned courseView course Python for AIPlanned courseView course Data & APIs for AIPlanned courseView course Machine Learning FundamentalsPlanned courseView course

Portfolio projectBuild a small Python AI service that accepts data, calls a model, validates output, and exposes an API.

02

Beat IT Generative AI portfolio

Generative AI applications

Build reliable LLM applications using prompting, retrieval, vector search, citations, and evaluation.

LLMsPromptingEmbeddingsVector searchRAGEvaluation

Courses in this step

Generative AI & LLMsPlanned courseView course Prompt EngineeringPlanned courseView course RAG & Vector DatabasesPlanned courseView course

Portfolio projectBuild a cited document assistant and measure retrieval and answer quality.

03

Applied AI Engineering

Agents, security, and operations

Create controlled agents and operate AI systems securely with monitoring and governance.

AgentsTool callingAI securityGuardrailsObservabilityDeployment

Courses in this step

AI Agents & Tool CallingPlanned courseView course AI Security & Responsible AIPlanned courseView course Deploying & Monitoring AIPlanned courseView course

Portfolio projectDeploy a tool-using agent with least-privilege access, evaluations, logs, and operational safeguards.

04

AI Engineer job simulation

First day to first month

Inspect the existing AI stack on Day 1, complete realistic Week 1 tickets, and deliver a Month 1 internal assistant.

Architecture discoveryPermissionsRAGEvaluationMonitoringTechnical demo

Courses in this step

AI Engineer Job SimulationPlanned courseView course

Portfolio projectShip and present a secure internal knowledge assistant from discovery through production-readiness.

Technology toolkit

Tools and platforms you will practice.

PythonREST APIsLLMsEmbeddingsVector databasesRAGAI agentsEvaluationGitObservability

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