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NextiaNextia Learning

Courses

28 courses, from your first steps in Python to AI systems in production. Every course names what you need before you start, so you can begin at the right place.

The curriculum

We publish each course when beginners have tested it. Hours are estimates and include practice.

Orientation

  • AI Career Foundations: Roles, Skills and Roadmaps3–4 hr · Starting point

Foundation

  • Python for Practical AI Engineering16–22 hr · Starting point
  • Essential Mathematics and Statistics for AI12–16 hr · Starting point
  • SQL and Data Preparation for AI12–16 hr · Needs 1 course

Core

  • Machine Learning: From Problem to Reliable Model18–24 hr · Needs 3 courses
  • Deep Learning and Transformers Explained18–24 hr · Needs 3 courses
  • LLMs: How They Work and How to Choose One8–12 hr · Needs 1 course
  • Building Reliable Applications with LLM APIs12–16 hr · Needs 2 courses
  • RAG: Building AI That Uses Your Data16–22 hr · Needs 2 courses
  • AI Agents and Workflow Orchestration14–20 hr · Needs 2 courses
  • Evaluating and Testing AI Systems12–16 hr · Needs 2 courses
  • Document and Multimodal AI12–18 hr · Needs 2 courses
  • Frontend Architecture and Performance for AI Apps12–18 hr · Needs 1 course
  • AI Security, Privacy and Responsible Design10–14 hr · Needs 3 courses
  • MCP: Connect AI Applications to Tools and Data12–16 hr · Needs 5 courses

Short practical

  • Git and Team Development Essentials5–7 hr · Starting point
  • AI-Assisted Software Development6–8 hr · Needs 2 courses
  • Build and Deploy Your First API7–10 hr · Needs 1 course
  • Deploying AI Models for Real Users8–12 hr · Needs 3 courses
  • Docker and Cloud Essentials for AI Developers7–10 hr · Needs 2 courses
  • CI/CD, Testing and Safe Releases8–12 hr · Needs 3 courses
  • Databases and Storage for AI Applications8–12 hr · Needs 2 courses
  • Scaling APIs and AI Workloads9–12 hr · Needs 3 courses
  • Authentication, Permissions and Multi-Tenant Applications9–12 hr · Needs 2 courses

Advanced

  • Fine-Tuning and Adapting AI Models14–20 hr · Needs 3 courses
  • MLOps and LLMOps: Operating AI in Production12–18 hr · Needs 5 courses
  • AI System Design and Cost Engineering12–16 hr · Needs 6 courses

Capstone

  • Portfolio Capstone: Build, Evaluate and Ship an AI Product25–40 hr · Needs 11 courses