My Lessons

Functions, Loops, and List Comprehensions

Python for AI — Module Assessment

NumPy Arrays and Vectorized Operations

Pandas DataFrames for Data Wrangling

Data Structures — Matching Exercise

HTTP Methods, Status Codes, and API Design

Building a FastAPI Prediction Endpoint

REST APIs — Module Assessment

Prompt Patterns and Chain-of-Thought

Building a Prompt Testing Pipeline

Calling LLM APIs with Python

Model APIs — Matching Exercise

Cloud Architecture for AI Workloads

Beginner Level — Final Assessment

NumPy and Pandas Essentials

Data Cleaning with Pandas

Python for Data Science — Module Assessment

Descriptive Statistics and Distributions

Probability and Hypothesis Testing

Statistics Concepts — Matching Exercise

EDA Workflow and Techniques

EDA — Module Assessment

Choosing the Right Chart

Building Visualisations with Matplotlib and Seaborn

Data Visualisation — Module Assessment

SELECT, WHERE, and Aggregations

JOINs and Subqueries

SQL Concepts — Matching Exercise

Bias, Fairness, and Responsible Data Use

Privacy, Consent, and Data Governance

Data Ethics Concepts — Matching Exercise

Identity, Authentication, and Authorisation

Role-Based Access Control Policies

IAM Concepts — Matching Exercise

Encryption, Hashing, and Data Protection

Hashing and Password Verification

Security Fundamentals — Module Assessment

Common Attack Vectors and Threat Landscape

Input Validation and Injection Prevention

Threat Awareness — Module Assessment

Cloud Security Shared Responsibility Model

Cloud Security Concepts — Matching Exercise

Beginner Level — Final Assessment

Opportunity Identification and Problem Framing

Assumption Mapping and Experiment Design

Product Discovery — Module Assessment

Stakeholder Mapping and Influence Strategies

Communication Plans and Status Reporting

Agile Principles and Scrum Fundamentals

Writing User Stories and Acceptance Criteria

Agile Delivery — Module Assessment

What Makes AI Products Different

AI Product Metrics and Success Criteria

AI Product Concepts — Matching Exercise

Research Methods and Interview Techniques

Beginner Level — Final Assessment