JA-01 — AI Foundations for Builders
AI Foundations for Builders
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
JA-02 — Python for AI Applications
JA-03 — Professional Developer Workflow for AI
Python for AI Applications
Practical Python for AI product builders: venv, scripts/modules, JSON/files, safe config, HTTP with **requests**, and a reusable utility toolkit portfolio project.
JA-05 — Prompt Engineering Mastery
Professional Developer Workflow for AI
Train production-ready habits for AI builders: professional editor/terminal workflows (VS Code/Cursor), Git/GitHub collaboration, canonical project architecture, configuration & secrets, logging, debugging, testing fundamentals, documentation, AI-assisted coding norms, and a reusable AI repo template portfolio project.
JA-06 — Structured Outputs, Schemas & Tool Contracts
JA-07 — LLM APIs Deep Dive
JA-08 — Cost, Latency & Model Routing
Building AI Applications (Product Patterns)
JA-10 — Gradio for Conversational AI
JA11 — Streamlit for AI Products
JA-12 — Flask for AI Web Applications
AI Applications Master Course
Application-first AI apps course with labs and projects.
JA-13 — FastAPI for AI Services
JA14 — AI Messaging Channels
JA-15 — RAG Fundamentals
JA-16 — Vector Databases for AI
JA-17 — Advanced RAG, Evaluation & Agentic Retrieval
JA-18 — Function Calling & Tool Design
JA-19 — AI Agents
JA-20 — Model Context Protocol (MCP)
JA-21 — Multi-Agent Systems & Orchestration
JA-23 — AI Image Generation Products
JA-01 — AI Foundations for Builders
AI Foundations for Builders
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
JA-02 — Python for AI Applications
JA-03 — Professional Developer Workflow for AI
Python for AI Applications
Practical Python for AI product builders: venv, scripts/modules, JSON/files, safe config, HTTP with **requests**, and a reusable utility toolkit portfolio project.
JA-05 — Prompt Engineering Mastery
JA-01 — AI Foundations for Builders
AI Foundations for Builders
A platform-independent foundation course that orients learners to generative AI products, builder mindset, safe tooling, and academy progression (L1 Beginner → JC-FOUND). Learners leave knowing what to build first, how AI applications differ from classical ML courses, and how to prepare a secure environment for later API work.
JA-02 — Python for AI Applications
JA-03 — Professional Developer Workflow for AI
Python for AI Applications
Practical Python for AI product builders: venv, scripts/modules, JSON/files, safe config, HTTP with **requests**, and a reusable utility toolkit portfolio project.
JA-05 — Prompt Engineering Mastery
Professional Developer Workflow for AI
Train production-ready habits for AI builders: professional editor/terminal workflows (VS Code/Cursor), Git/GitHub collaboration, canonical project architecture, configuration & secrets, logging, debugging, testing fundamentals, documentation, AI-assisted coding norms, and a reusable AI repo template portfolio project.
JA-06 — Structured Outputs, Schemas & Tool Contracts
JA-07 — LLM APIs Deep Dive
JA-08 — Cost, Latency & Model Routing
Building AI Applications (Product Patterns)
JA-10 — Gradio for Conversational AI
JA11 — Streamlit for AI Products
JA-12 — Flask for AI Web Applications
AI Applications Master Course
Application-first AI apps course with labs and projects.
JA-13 — FastAPI for AI Services
JA14 — AI Messaging Channels
JA-15 — RAG Fundamentals
JA-16 — Vector Databases for AI
JA-17 — Advanced RAG, Evaluation & Agentic Retrieval
JA-18 — Function Calling & Tool Design
JA-19 — AI Agents
JA-20 — Model Context Protocol (MCP)
JA-21 — Multi-Agent Systems & Orchestration