AI Architects is the second stage of JKT Technology's Artificial Intelligence pathway, designed for learners who have completed AI Sparks (or have equivalent basic PictoBlox an…
AI Architects
Designing Smarter Machines with PictoBlox
“From using AI to engineering it — build applications that think, decide, and adapt.”
LEVEL 2 — INTERMEDIATE PATHWAY
AI Architects is the second stage of JKT Technology's Artificial Intelligence pathway, designed for learners who have completed AI Sparks (or have equivalent basic PictoBlox and AI experience).
Where AI Sparks introduces students to individual AI features one at a time, AI Architects challenges learners to combine multiple AI capabilities, structured data, and decision-making logic into cohesive, purposeful applications.
Students move beyond single-feature demos into genuine application design: training multi-class machine learning models, chaining AI outputs into program logic using variables and lists, and building intelligent systems that respond intelligently to combinations of real-world inputs.
By the end of the programme, every learner will design and build a multi-feature AI application that solves a defined problem for a real audience, and will present it as a structured project pitch.
Audience: Learners who have completed AI Sparks (Beginner), or Secondary School students with basic PictoBlox/block-coding experience (Ages 11–16)
Programme Length: 4 Weeks
Training Day: Thursday
Sessions: 4
Lessons: 8 (2 Lessons per Session)
Session Length: 75 Minutes
By the end of this course, students will be able to:
Students revisit and deepen their AI toolkit, then push into multi-class training and combined AI features driven by real program logic.
Lesson 1: Levelling Up: The AI Toolkit Recap
Reviewing face, object, and emotion detection at a deeper level, and exploring lesser-used PictoBlox AI extensions and blocks.
Lesson 2: Multi-Class Machine Learning
Training models with three or more categories, and learning how class balance and data variety affect real-world accuracy.
Lesson 3: Combining AI Features
Building an application that uses two or more AI capabilities together — for example, vision plus speech — to respond intelligently to layered inputs.
Lesson 4: Data-Driven Decisions
Using variables and lists to store AI outputs over time, enabling projects that track history, tally results, and make decisions based on patterns.
Students apply their strengthened AI toolkit to build genuinely interactive systems, games, and socially useful applications, culminating in a structured project pitch.
Lesson 5: Advanced Gesture & Motion Systems
Building responsive, multi-gesture controlled systems that go beyond simple left/right triggers into layered, contextual control.
Lesson 6: AI-Powered Games with Score & Feedback
Designing a game that uses AI detection to drive scoring, levels, and adaptive difficulty or feedback for the player.
Lesson 7: AI for Good: Solving Real Problems
Identifying a genuine community or school-based problem and designing a multi-feature AI application to address it responsibly.
Lesson 8: Prototype Pitch & Peer Review Day
Presenting a working prototype as a structured pitch, and giving and receiving constructive peer feedback for further improvement.
Students design, build, and pitch a multi-feature AI application that combines at least two AI capabilities and uses structured logic (variables, lists, conditionals) to solve a clearly defined real-world problem for a specific audience.
Examples include:
Students who successfully complete the programme will receive a
Certificate in Applied Artificial Intelligence & Systems Design with PictoBlox (AI Architects – Intermediate Level)
Advanced
Price: ₦30000
Use "View Full Curriculum" above to see what's covered.
Students revisit and deepen their AI toolkit, then push into multi-class training and combined AI features driven by real program logic.
Students apply their strengthened AI toolkit to build genuinely interactive systems, games, and socially useful applications, culminating in a structured project pitch.