Amazon & Retail Media Networks - Course Curriculum

Hexadigitall Technologies https://hexadigitall.com

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Course Snapshot

Structured, hands-on learning path for Amazon & Retail Media Networks with detailed weekly outcomes and practical delivery.

14 Weeks

Advanced

Project-Based

Welcome to Amazon & Retail Media Networks! 🎓

This curriculum for Amazon & Retail Media Networks follows a Bloom-aligned progression from practical foundations to measurable professional outcomes, with weekly evidence, labs, and portfolio outputs matched to advanced expectations.

Each week advances from comprehension and application toward evaluation and creation, ensuring progressive learning and capstone readiness.

Your success is our priority. By the end, you will produce portfolio-ready artifacts and confidently explain your technical decisions. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality. You will graduate with a professionally curated portfolio that demonstrates scope, depth, and delivery quality.

Prerequisites & What You Should Know

Python programming proficiency: libraries (NumPy, Pandas, scikit-learn), data structures, and API usage
Statistics and probability fundamentals: distributions, hypothesis testing, and experimental design
Machine learning basics: supervised learning, hyperparameter tuning, and model evaluation metrics
Hands-on experience with notebooks (Jupyter), experiment tracking, and model versioning systems

Recommended Complementary Courses

LLMs & Generative AI

Master fine-tuning, prompt engineering, and RAG architecture patterns

MLOps & Model Deployment

Learn model serving, A/B testing, and continuous model improvement workflows

Production AI Systems

Deepen model monitoring, drift detection, and operational governance

Essential Learning Resources

Model development workflow guides, hyperparameter tuning references, and experiment tracking templates
Feature engineering playbooks, model evaluation metrics library, and production deployment checklists
Research paper repository, implementation examples, and performance benchmarking tools

Your Learning Roadmap

Early Weeks: ML fundamentals, data preparation, and baseline models
Middle Weeks: Advanced model techniques, experimentation, and tuning
Late Weeks: Production deployment, monitoring, and continuous improvement

Detailed Weekly Curriculum

Week 12 hours + labs

Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1)

Analyze the principles of Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1) across failure and recovery scenarios.

Week 22 hours + labs

Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1)

Analyze the principles of Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1) across failure and recovery scenarios.

Week 32 hours + labs

Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1)

Analyze the principles of Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1) across failure and recovery scenarios.

Week 42 hours + labs

Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1)

Analyze the principles of Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 1) across failure and recovery scenarios.

Week 52 hours + labs

Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1)

Analyze the principles of Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Evaluate Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Design trade-offs, risks, and decision points for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1) across failure and recovery scenarios.

Week 62 hours + labs

Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1)

Evaluate the principles of Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Apply security controls for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1), including access boundaries and data protection baselines.
Run vulnerability or control validation for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1) and triage findings by severity.
Implement remediation steps for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1) and verify closure with re-test evidence.

Week 72 hours + labs

Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1)

Evaluate the principles of Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1) across failure and recovery scenarios.

Week 82 hours + labs

Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1)

Evaluate the principles of Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1) and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1) in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Continuous Improvement and Scale (Sprint 1) across failure and recovery scenarios.

Week 92 hours + labs

Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2)

Evaluate the principles of Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
Design Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Optimize trade-offs, risks, and decision points for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2), then record rationale for stakeholder review.
Justify a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 2) across failure and recovery scenarios.

Week 102 hours + labs

Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2)

Design the principles of Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 2) across failure and recovery scenarios.

Week 112 hours + labs

Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2)

Design the principles of Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2) across failure and recovery scenarios.

Week 122 hours + labs

Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2)

Design the principles of Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2) across failure and recovery scenarios.

Week 132 hours + labs

Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2)

Design the principles of Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Build and validate topology for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2), including segmentation and routing intent.
Implement policy controls for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2) traffic paths and verify allowed/denied flows.
Run connectivity and resilience tests for Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2) across failure and recovery scenarios.

Week 142 hours + labs

Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2)

Design the principles of Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2) and link them to course outcomes at advanced depth with architecture-level decision quality.
Optimize Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2) in a guided scenario using realistic tools, constraints, and quality gates.
Architect trade-offs, risks, and decision points for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2), then record rationale for stakeholder review.
Defend a portfolio-ready delivery strategy memo for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2) with measurable success criteria and next actions.

Lab Exercise

Apply security controls for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2), including access boundaries and data protection baselines.
Run vulnerability or control validation for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2) and triage findings by severity.
Implement remediation steps for Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 2) and verify closure with re-test evidence.

Capstone Projects

Project 1: Amazon & Retail Media Networks Foundation Build

Deliver a concrete foundation implementation covering the first phase of the curriculum.

Implement and validate Amazon & Retail Media Networks: Domain Foundations and Problem Definition (Sprint 1).
Integrate Amazon & Retail Media Networks: Stakeholder Discovery and Requirements (Sprint 1) with reusable workflow standards.
Publish evidence for Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 1) with test and quality artifacts.

Project 2: Amazon & Retail Media Networks Integrated Systems Build

Combine mid-program competencies into a production-style integrated workflow.

Build an end-to-end flow around Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 1) and Amazon & Retail Media Networks: Risk and Governance Controls (Sprint 1).
Add controls, observability, and rollback paths for reliability.
Document architecture decisions and trade-offs tied to Amazon & Retail Media Networks: Program Execution and Cadence (Sprint 1).

Project 3: Amazon & Retail Media Networks Capstone Delivery

Ship a portfolio-ready capstone with measurable outcomes and stakeholder-ready presentation.

Deliver a complete implementation centered on Amazon & Retail Media Networks: Process Mapping and Workflow Design (Sprint 2).
Validate readiness for Amazon & Retail Media Networks: Decision Frameworks and Trade-offs (Sprint 2) using objective acceptance checks.
Present final defense and roadmap based on Amazon & Retail Media Networks: Reporting and Communication Excellence (Sprint 2) outcomes.