ENROLMENT & CERTIFICATION
Everything in the programme, and exactly what it costs
20 days across 5 phases, from data fundamentals to enterprise agents. Registration is required before access: once you register and your $300 fee is confirmed, login credentials are sent to your registered email.
PROGRAMME FEE
$300
One-time, full cohort access. Includes labs, Project Studio, assessment attempts and certificate.
ASSESSMENT
60 minutes
- • Final capstone assessment, 70% pass mark
- • Two attempts included, 48-hour cooldown
- • Daily knowledge checks, ~5 minutes each
- • 20 graded lab submissions + capstone project
TIME COMMITMENT
~2 hrs / day
- • 20 paged storybook lessons
- • Hands-on Python lab every day
- • Live teaching sessions with synced labs
- • Project Studio build / test / deploy runs
Your path to certification
- 1
Register
Submit the enrolment form below with your email and background.
- 2
Confirm payment
Pay the flat $300 fee in full, or in two instalments of $150.
- 3
Approval & credentials
Once payment is approved, your account is created and a set-password link is emailed to you.
- 4
Complete 20 days
Work through paged lessons, labs and Project Studio builds at your pace.
- 5
Pass the assessment
Score 70% or higher in the 60-minute final assessment.
- 6
Earn certification
Download your Fifth AI Engineer badge and named certificate.
How the course is delivered
The programme is completely online and self-paced. You start with live introduction classes, then work through the 20 days on your own schedule, with one live class per week as required for walkthroughs and doubt clarification.
WHAT'S INCLUDED
- • Live introduction classes at the start of your cohort
- • One live class per week, as per requirement
- • Doubt-clarification calls you schedule yourself
- • Self-paced access to all lessons, labs and the Project Studio
SCHEDULE A CALL (BY APPOINTMENT)
- Weekdays (Mon–Fri)
- 5:00 PM – 7:00 PM CST
- Saturday
- 10:00 AM – 12:00 PM & 2:00 PM – 4:00 PM CST
- Sunday
- Holiday — no sessions
All calls run by appointment; you book a slot from your dashboard once your credentials arrive.
Curriculum summary
PHASE 1
Fundamentals and Foundations
AI, data, information, classification, storage, quality, governance, Python and APIs.
Days 1–5
PHASE 2
Models and Machine Learning
Features, labels, algorithms, training, evaluation, deployment and monitoring.
Days 6–10
PHASE 3
Deep Learning and Transformers
Neurons, networks, backpropagation, CNNs, RNNs, LSTMs, attention and Transformers.
Days 11–13
PHASE 4
LLMs, Generative AI and Knowledge
Tokens, embeddings, context, prompting, generation, multimodal AI, vector search and RAG.
Days 14–18
PHASE 5
Agents and Enterprise AI
Tool calling, memory, planning, permissions, observability, approval and enterprise architecture.
Days 19–20