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AWS Solution Architect

Secure Architectures

This lesson introduces the core principles of cloud security through the CIA (Confidentiality, Integrity, Availability) triad. It then dives deep into AWS Identity and Access Management (IAM), the foundation of AWS security. You will learn to create and manage IAM users and groups, enforce strong password policies, and apply the principle of least privilege using IAM policies. The session will cover the structure of an IAM policy, including Effect, Action, Resource, and Condition, and differentiate between AWS Managed, Customer-Managed, and Inline policies.

4 lessons•2h total
With Frank
Goal: Articulate the CIA triad and implement foundational security by creating IAM users and applying fine-grained permissions through IAM policies to enforce the principle of least privilege.
Google Ads

Lead Generation

This lesson covers the essential non-advertising groundwork and technical setup required before launching a Google Ads campaign for lead generation. It focuses on the strategic business prerequisites, such as defining a Unique Selling Proposition (USP) and detailed customer avatars. It then walks through the critical first steps of account creation, emphasizing the importance of selecting "Expert Mode" to gain full control. We will introduce Google Tag Manager (GTM) as the central hub for managing tracking codes and establish the fundamental concepts of conversion tracking, explaining why it is the most critical step to complete before any campaigns go live.

4 lessons•2h total
With Helen
Goal: The user will be able to articulate the strategic business needs for a successful campaign and correctly set up Google Ads and Google Tag Manager accounts, preparing the foundation for accurate performance measurement.
AWS ML Engineering

Model Monitoring

This lesson introduces the core challenge of maintaining model performance in production: model drift. We will define the concept of drift and explore its four primary types as identified by AWS: Data Drift (changes in input data statistics), Model Drift (degradation of prediction quality), Bias Drift (changes in fairness metrics), and Feature Attribution Drift (shifts in feature importance). We will then introduce Amazon SageMaker Model Monitor as the primary service to combat this, covering its automated workflow: establishing a baseline from training data, capturing live inference data, and running scheduled monitoring jobs to compare production data against the baseline to detect deviations.

2 lessons•1h total
With Sebastian
Goal: The user will be able to articulate the business impact of model drift and differentiate between the four main types of drift. They will also be able to describe the high-level architecture and process of using Amazon SageMaker Model Monitor to automate drift detection.

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✨ Personalized study plans for every subject, adapted to your level

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How Didaxa Works for Professionals

Personalized training that adapts to your pace and career goals

1
🎯

Ad-Hoc Sessions, Zero Wasted Time

No generic pre-recorded videos. Only live personalized sessions for you: deep theory or practical assessment. You choose.

2
💼

Smart Interview Preparation

Spotted an interesting job posting? Upload CV + job spec: we prepare you with targeted questions, gap analysis and realistic simulations.

3
🎧

Too Busy? Podcast On-The-Go

Create personalized podcasts from your topics and learn while doing other things: commuting, gym, lunch break.

4
🧠

Advanced Inter-Session Memory

Every session knows you better. The system remembers your level, gaps and goals across topics and sessions. Becomes increasingly professional and relevant.

Each lesson enriches your profile. Didaxa becomes smarter and more personalized for you.

What Professionals Say

Real growth stories

"Needed to learn TypeScript for a new role. 4 focused sessions with Didaxa and I was shipping code in a week. Would've taken me a month with YouTube tutorials."

David Martinez

Software Engineer

"Prepared for a tech interview using CV analysis and mock sessions. Got the job at Amazon. The personalized approach saved me weeks of generic prep."

Jennifer Wu

Product Manager

"Learning data analytics while working 60-hour weeks seemed impossible. On-demand sessions fit perfectly into my chaotic schedule. Now I'm leading data projects."

Damien Thompson

Finance Professional