3.3SpecializationSession 3 · Deep Learning & Applied Machine Learning

Data transformation and manipulation

20classes60htotalTH2 · PR2 · PNW2weighting per class

Class-by-class breakdown

20 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 19 more with enrollment180 min per classTheory 60mPractical 60mPersonal Work 60m
1

Why Transformation Is the Hidden Engine of Every Good Agent

FreeTH2PR2PNW2

An AI Integration Manager knows raw data rarely feeds an agent directly — transformation is what turns messy sources into retrieval-ready knowledge.

Theory60m
  • The transformation layer between collection and retrieval/generation
  • How bad transformations cause hallucinations and missed answers
  • Map one business dataset to the transformations an agent would need
Practical60m
  • Inspect a raw dataset and list 5 transformations needed before RAG use
  • Sketch the transform stage in a collect→transform→embed→retrieve pipeline
Personal Work60m
  • Write a one-page transformation plan for a sample agent knowledge base
  • Micro-task: submit your plan
2

Cleaning Text for GenAI — Stripping Noise from Documents

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who cleans text well directly improves RAG answer quality — noise in means garbage answers out

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3

Splitting and Chunking — Designing Retrieval Units for RAG

LockedTH2PR2PNW2

Locked class preview

A Project Manager who understands chunking knows it's the single biggest lever on RAG quality — chunk size changes what the agent can find

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4

Metadata Enrichment — Tagging Chunks for Smarter Retrieval

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who tags chunks with metadata enables filtered retrieval — the agent can search only 'policy' or '2025' docs

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5

Deduplication and Near-Duplicate Detection

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who dedupes prevents the agent from retrieving the same passage five times — duplicates skew answers and waste context

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6

Structuring Unstructured Data — Tables, QA Pairs and Schemas

LockedTH2PR2PNW2

Locked class preview

A Project Manager who turns unstructured docs into structured QA pairs gives an agent cleaner, more retrievable knowledge

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7

Feature Engineering for ML Models That Support Agents

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who engineers features well improves the classical ML models that often sit alongside GenAI in a business solution

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8

Building Transformation Pipelines — Repeatable, Not One-Off

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who builds repeatable pipelines keeps the agent's knowledge base consistent as data refreshes

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9

Embedding Pipelines — Turning Chunks into Vectors at Scale

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who runs an embedding pipeline can populate a vector store with hundreds of chunks automatically

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10

Transforming Tool Outputs — Normalizing Agent API Results

LockedTH2PR2PNW2

Locked class preview

A Project Manager who normalizes tool outputs lets an agent combine results from different APIs into one coherent answer

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11

Data Joining and Merging — Combining Sources for Richer Retrieval

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who merges a product catalog with support docs gives an agent richer context to answer from

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12

Aggregation and Summarization — Compressing Data for Context

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who summarizes large datasets into compact stats fits them into an agent's limited context window

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13

Handling PII and Sensitive Data During Transformation

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who redacts PII during transformation keeps the agent from retrieving and exposing private data

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14

Validation and Quality Checks in the Pipeline

LockedTH2PR2PNW2

Locked class preview

A Project Manager who adds validation gates catches transformation errors before they poison the agent's knowledge base

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15

Versioning Transformed Data — Reproducible Agent Knowledge

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who versions transformed data can explain exactly what the agent knew at any point in time

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16

Monitoring Pipeline Health — Drift, Failures and Freshness

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst who monitors the pipeline catches data drift before the agent starts giving stale or broken answers

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17

Mini-Project — Build a RAG-Ready Transformation Pipeline

LockedTH2PR2PNW2

Locked class preview

This ties transformation together — a Data/Business Analyst who builds a clean, validated, embeddable pipeline proves the agent's knowledge is trustworthy

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18

Evaluating Transformation Impact on Agent Answers

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who measures how transformations change agent answers can prove the work was worth it

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19

Streaming and Real-Time Transformation for Live Agents

LockedTH2PR2PNW2

Locked class preview

An AI Integration Manager who transforms data in real time lets an agent act on fresh events — streaming pipelines power live business agents

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20

Present and Reflect — Your Transformation Pipeline

LockedTH2PR2PNW2

Locked class preview

A Data/Business Analyst presenting a transformation pipeline proves the agent's answers rest on clean, well-structured data

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