ACADEMIC + PRACTICAL AI ENGINEERING

From Data to
Agentic AI
in 20 Days

Master Artificial Intelligence from first principles. Begin with data and models, progress through Machine Learning, Deep Learning, Transformers, LLMs, Generative AI, RAG and Agents, and finish by building a production-style enterprise AI system.

20 days · story-format lessons · labs, quizzes, badge and certificate

Fifth AI Solutions — Innovating Tomorrow, Today

THE LEARNING JOURNEY

  1. 1

    Foundations

    Data + AI

  2. 2

    Models

    ML + Deep Learning

  3. 3

    Language

    Transformers + LLMs

  4. 4

    Knowledge

    Embeddings + RAG

  5. 5

    Action

    Agents + Tools

Eleven milestones, one route

From orientation to a defended capstone. Each milestone lists its days, duration, topics, outcome and the step it adds to your Project Studio build.

Open the full journey →

Welcome aboard the Course Rider — fasten your seat belt.

Pit stop: Step away for ten minutes. Recall beats rereading.

Focus radar: Name three things you can now explain out loud.

Lessons that read like a storybook

No endless scroll. Each day is paged: turn one spread at a time and every lesson follows the same rhythm, so you always know where you are.

ObjectiveBodyTechnical ByteBrain TeaserAcronym DeckAuthor's Point of ViewApplicationDecision & ActionSummary & ConclusionKnowledge CheckAssignmentGlossary

Five phases, twenty days

1

Fundamentals and Foundations

AI, data, information, classification, storage, quality, governance, Python and APIs.

2

Models and Machine Learning

Features, labels, algorithms, training, evaluation, deployment and monitoring.

3

Deep Learning and Transformers

Neurons, networks, backpropagation, CNNs, RNNs, LSTMs, attention and Transformers.

4

LLMs, Generative AI and Knowledge

Tokens, embeddings, context, prompting, generation, multimodal AI, vector search and RAG.

5

Agents and Enterprise AI

Tool calling, memory, planning, permissions, observability, approval and enterprise architecture.

See all 20 days →

HOW WE TEACH

  • Accessible by Design

    Readable typography, keyboard navigation, alt text and responsive layouts.

  • Evidence Based

    Evaluation, measurement, source validation and fact-checking throughout.

  • Learn by Building

    Every concept connects to code, a lab or a project.

  • Privacy First

    Protect personal, student, customer and enterprise data.

  • Responsible AI

    Transparency, human oversight, security and safe tool use.

FINISH LINE

Earn the Fifth AI Engineer badge

Clear all twenty days, pass the capstone assessment and download a certificate carrying your name.