Applied AICollège Unica
1.5Support TechnologySession 1 · Foundations of AI & Data Science

Setting up an AI ecosystem

15classes45htotalTH2 · PR1 · PNW2weighting per class

Class-by-class breakdown

15 classes

TH = theory · PR = practical · PNW = personal work. These are ministry weighting codes (not hours) used to split each class's minutes. Class length = course hours ÷ class count; the three time-boxes below always sum to that length.

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First 2 classes free with a referral 14 more with enrollment180 min per classTheory 72mPractical 36mPersonal Work 72m
1

What Is an AI Ecosystem — Models, APIs, Agents and the Tools Between Them

FreeTH2PR1PNW2

An AI Integration Manager can't assemble tooling they can't name — this class builds the shared vocabulary that every later class depends on.

Theory72m
  • Define a modern AI ecosystem: LLMs, APIs, agents, tools, vector stores and the people who run them
  • Map the layers: foundation models → APIs → tool-calling → agents → applications
  • Survey roles (Data/Business Analyst, AI Integration Manager) and where each layer sits
Practical36m
  • Annotate a real GenAI ecosystem diagram in Figjam, labeling each layer with one example (OpenAI, Claude, an agent framework)
  • Identify which layer a given tool (e.g. ChatGPT, a RAG app) belongs to
Personal Work72m
  • Write a one-page map of a GenAI ecosystem you use daily
  • Micro-task: submit your map as a PDF with each layer labeled
2

The Foundation Model Landscape — OpenAI, Anthropic and Open Models

LockedTH2PR1PNW2

Locked class preview

Project Managers who ship AI pick a model family before writing a line of code — knowing the landscape prevents costly dead ends

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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3

APIs 101 — How LLM Services Talk to Your Code

LockedTH2PR1PNW2

Locked class preview

Every AI Integration Manager wires models into apps through APIs — understanding requests, keys and JSON unlocks the whole toolchain

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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4

Hands-On — Calling Your First LLM API

LockedTH2PR1PNW2

Locked class preview

Calling a model from code is the bridge from theory to shipping — the first skill a Data/Business Analyst uses to automate a report

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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5

Prompting Fundamentals — Getting Useful Output from GenAI

LockedTH2PR1PNW2

Locked class preview

Digital Marketing Strategists live or die by prompt quality — better prompts mean fewer rewrites and faster campaign drafts

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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6

Structured Output — Making LLMs Return Data You Can Use

LockedTH2PR1PNW2

Locked class preview

An AI Integration Manager turns free-form text into JSON a system can act on — structured output is what makes GenAI programmable

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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7

Tool-Calling and Function-Calling — Letting LLMs Use Tools

LockedTH2PR1PNW2

Locked class preview

Tool-calling is the leap from chatbot to agent — a Data/Business Analyst who grasps it sees how an LLM can look up a real number instead of guessing

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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8

From Tool-Calling to Agents — Multi-Step Autonomous Work

LockedTH2PR1PNW2

Locked class preview

An AI Integration Manager builds agents that plan, call tools and loop toward a goal — this is where GenAI starts doing real work, not just answering

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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9

Agent Memory and Context — Giving Agents a Working Memory

LockedTH2PR1PNW2

Locked class preview

Project Managers know a teammate with no memory repeats mistakes — agent memory is what lets an agent stay coherent across steps and sessions

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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10

Retrieval-Augmented Generation (RAG) — Grounding LLMs in Your Data

LockedTH2PR1PNW2

Locked class preview

A Data/Business Analyst who grounds an LLM in company docs gets trustworthy answers instead of hallucinations — RAG is the core business pattern

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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11

Orchestrating Multi-Agent Workflows — Agents That Collaborate

LockedTH2PR1PNW2

Locked class preview

AI Integration Managers increasingly wire multiple agents together — one researches, one drafts, one reviews — orchestration is the new system design

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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12

Security and Privacy in GenAI Ecosystems

LockedTH2PR1PNW2

Locked class preview

Any AI Integration Manager handling customer data must protect it — getting GenAI security wrong (prompt injection, data leaks) sinks projects before they ship

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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13

Cost and Resource Management for GenAI Tools

LockedTH2PR1PNW2

Locked class preview

Project Managers keep AI projects alive by controlling spend — knowing how tokens, calls and agents drive cost prevents budget overruns

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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14

Mini-Project — Assemble Your Own Agentic AI Toolkit

LockedTH2PR1PNW2

Locked class preview

This is the capstone rehearsal an AI Integration Manager needs: combining an LLM, a tool and a retrieval step into one working ecosystem proves the learning is real

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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15

Present and Reflect — Your Personal Agentic AI Ecosystem

LockedTH2PR1PNW2

Locked class preview

Data/Business Analysts and Project Managers present findings to stakeholders — this class rehearsing the demo-and-reflect cycle closes the loop

Enroll to unlock every class in this course — the full agenda, the AI tutor, and the quiz.

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