A path, not a playlist
Move through a structured career roadmap where each module prepares you for the system you will build next.
The first verified step toward AI engineering
Build your AI Engineering foundation.
Designed for people with some hands-on experience in Python, data, or programming who still have gaps in software engineering. Assess your starting point, follow an evidence-informed plan, complete Software Engineering Foundations, and verify your first guided API project.
Recommended prerequisite · Some practical exposure to Python, data, or another programming language
YOUR COMPETENCY PATHFOUNDATION
1
Starting baselineAssessment
2
Foundation competenciesFive modules
3
Inference API StarterGuided project
4
Foundations milestoneVerified evidence
Example next activityPython Foundations · 35 minThe real recommendation depends on your assessment and recorded progress.
Clarity changes everything
Stop collecting courses.
Start building connected evidence.
01Too many disconnected tutorials
02Too little practice building complete systems
03No inspectable record of what you can do
Designed around progress
A learning path that turns practice into inspectable evidence.
The founding beta connects explanations, exercises, assessments, and one verified project in a deliberate sequence.
Practice creates progress
Learn through hands-on exercises, design decisions, automated checks, and one guided beta project.
Mastery over completion
Progress is tied to demonstrated competencies and evidence—not passive time spent watching lessons.
Designed to grow
The long-term roadmap extends from software foundations into ML, deep learning, LLM systems, agents, and MLOps as each stage becomes ready.
Guidance you can explain
The founding beta combines a readiness assessment with an evidence-informed plan that explains every recommended next step.
A first project with substance
Finish the launch experience with a tested repository, architecture decisions, and a system you can explain.
The long-term roadmap
Start with reliable code. Grow toward reliable AI systems.
Software Engineering Foundations is the only curriculum stage included in the founding beta. Stages 02–08 show product direction, not content currently available to participants.
01stage available in betaThe assessment, evidence-informed plan, five modules, and first project define the complete founding beta scope.
- 01
Software Engineering Foundations
Python, Git, APIs, testing, data structures
- 02
Math for AI
Linear algebra, probability, statistics, optimization
- 03
Data and Machine Learning
Data pipelines, supervised learning, evaluation
- 04
Deep Learning
PyTorch, neural training, vision and sequences
- 05
Transformers and LLMs
Attention, embeddings, RAG, reliable evaluation
- 06
AI Systems and Agents
Tools, state, planning, safety, benchmarks
- 07
MLOps and Production
Containers, CI/CD, monitoring, reliability
- 08
Capstone Portfolio
Architecture, delivery, case study, career evidence
How it works
Know what to do next—and why.
- 1
Assess your current skills
A focused readiness baseline highlights where to concentrate effort; practice and module checks establish completion.
- 2
Follow your recommended path
Evidence produces an explainable roadmap and the next activity to complete.
- 3
Learn through explanation and practice
Short explanations lead directly into code, decisions, and feedback.
- 4
Build the guided beta project
Create a typed, tested, containerized API with documentation and explicit limitations.
- 5
Demonstrate mastery
Connect evidence to competencies instead of collecting completion badges.
- 6
Verify the milestone
Finish with five demonstrated competencies and a pinned project revision that passed the current verification flow.
Build the proof
One beta project. A broader project roadmap.
The founding beta includes only the Inference API Starter. The remaining examples describe possible future releases and are not available to participants.
Inference API starter
A tested, containerized Python API with validation, documentation, and explicit engineering decisions.
Available in founding betaDeep learning application
A neural model trained, evaluated, packaged, and presented with clear limitations.
Future roadmap · not availableRAG application
Grounded answers, source references, retrieval experiments, and a regression evaluation suite.
Future roadmap · not availableAI agent workflow
A bounded, tool-using workflow with explicit state, logs, safety controls, and a benchmark.
Future roadmap · not availableProduction deployment
A containerized AI service with automated checks, observability, and rollback thinking.
Future roadmap · not availableFinal capstone
An end-to-end product combining architecture, evidence, deployment, and a technical case study.
Future roadmap · not availableFounding beta outcome
Finish with inspectable evidence, not just completion badges.
Complete the focused Foundations milestone with a tested project and a record of the evidence collected. This is not the full AI Engineer journey or a professional certification.
- Foundation readiness baseline
- Explainable learning plan
- Five demonstrated competencies
- One tested, documented repository
- Recorded engineering decisions
- Pinned revision verification
Founding beta access
The founding beta is explicitly free.
Participant access costs $0, requires no payment card, and never converts automatically into a paid plan. Admission still depends on application review, support capacity, and an invitation.
$0 no account required
Understand the beta scope and establish a preliminary baseline.
- Readiness assessment
- Preliminary Skill Map
- Founding beta curriculum overview
- No payment details
$0 supported participant access
Apply to complete the focused Foundations milestone with product support and one verified project.
- Evidence-informed, explainable plan
- Five Foundations modules
- Evidence and mastery tracking
- Inference API Starter
FAQ
Questions before you begin.
Is this for complete beginners?
The founding beta is not designed as a first introduction to programming. It is recommended for people who already have some practical exposure to Python, data, or another programming language and want to strengthen their software engineering foundations.
How long does the path take?
The founding beta is scoped to roughly four weeks for Software Engineering Foundations at eight hours per week. Your prior experience and weekly availability may change that pace.
What prior experience is recommended?
You should be comfortable reading and modifying simple code or working with data. Deep software engineering experience is not expected—the course is intended to close gaps in areas such as Git, testing, APIs, code structure, and delivery practices.
Will I build a real project?
The founding beta includes one guided API project with tests, documentation, a container, and pinned-revision verification. Additional project ideas are future roadmap only.
Is the curriculum kept up to date?
Published beta content is versioned and passes the current content review gates. Future stages remain hidden until they have content and operational approval.
Does Radiant guarantee a job?
No. Radiant develops relevant skills and evidence, but hiring outcomes depend on many factors outside any learning platform.
How much does the founding beta cost?
The founding beta is free ($0). No payment card is required, and participation will not convert automatically into a paid plan.
Your path starts here
Build what comes next.
See your preliminary Skill Map, then apply for a supported place in the founding beta.
Preview Your Skill Map