What is Didaxa Smart Timer?

Smart Timer is a technology that only counts active interaction time with the tutor. Pauses, exercises, and thinking time are not charged, saving you up to 40% on costs.

How much does Didaxa cost?

Didaxa starts at $9.99/hour with Smart Timer. Get 30 free minutes on signup. Bundles available: 5 hours for $44.99, 10 hours for $79.99. Save up to 80% compared to $40-60/hour private tutors.

What subjects are available on Didaxa?

Didaxa covers 50+ professional skills including programming (Python, JavaScript, TypeScript), data science, machine learning, business skills, leadership, communication, languages, project management, and much more.

How does the free trial work?

Get 30 free minutes upon registration, no credit card required. Full access to all features: AI tutor, interactive whiteboard, CV analysis, personalized learning paths, PDF reports.

What is Didaxa Smart Timer?

Smart Timer is our innovative technology that only charges for active study time, saving you up to 80% compared to traditional tutoring.

How much does Didaxa cost?

Didaxa starts from $9.99 per hour with Smart Timer. You get a free 30-minute trial to start.

Need to upskill for a new job or stay competitive?

Name: Didaxa Smart Timer
Brand: Didaxa

Traditional courses take months. Get job-ready in weeks.

Become an AI Developer with Python & LangChain

Expert Paths

Human-curated paths ready to go: AWS, GCP, ML, AI

AI Personalized

AI tutors create custom paths for your career goals

Live AI Coaches

Real sessions with AI coaches, not boring videos

CV Analysis

Upload CV + job spec: tailored learning path

AI Podcasts

No time for a live session today? Listen to a podcast instead!

Interactive Sessions with Advanced AI Tutors

Every session is with an expert AI tutor, available 24/7. No scheduling, no waiting. Learn when you want, at your pace, with immediate personalized feedback.

Always Available

🎯 Built by professionals, for professionals who want to grow

READY-TO-START PLANS

Expert-Curated Paths. Zero Planning.

40 ready-made plans, created by professionals for professionals. Import and start today.

Can't find what you're looking for? We can create custom tailored paths just for you.

AWS ML Engineering

Model Deployment

This lesson introduces the core concepts of ML model deployment on AWS. It begins by differentiating between training and inference workloads, highlighting the unique requirements of each. We will then survey the primary managed deployment options within Amazon SageMaker, using a decision-making framework to understand when to use each. The focus will be on Batch Transform (for offline bulk inference), Asynchronous Inference (for large payloads and long processing times), Serverless Inference (for intermittent traffic), and Real-Time Inference (for low-latency, persistent endpoints). The lesson will also briefly cover using pre-trained AWS AI Services like Rekognition and Comprehend via their APIs as a starting point for ML integration.

4 lessons•2h total

With Sebastian

Goal: By the end of this lesson, you will be able to differentiate between the four primary SageMaker managed deployment options and select the most appropriate one for a given business problem based on traffic patterns, payload size, and latency requirements.

Linux Security

Firewall

Introduction to firewall concepts and the legacy `iptables` tool. This lesson covers the fundamentals of layered security, the role of the `netfilter` kernel framework, and the structure of `iptables` (tables, chains). The main activity will be to construct a basic, stateful IPv4 firewall script that allows loopback traffic, established and related connections, and opens the SSH port (22) to maintain server access.

4 lessons•2h total

With Frank

Goal: Understand the core concepts of host-based firewalls and configure a basic stateful `iptables` ruleset for a Linux server.

AWS ML Engineering

Model Security

This lesson introduces the foundational security principles for machine learning on AWS, based on the Well-Architected Framework. The primary focus will be on implementing a strong identity foundation using AWS Identity and Access Management (IAM). We will cover the core components of IAM—Users, Groups, and Roles—with a special emphasis on why IAM Roles are the best practice for ML workloads and services like SageMaker. You will learn about the principle of least privilege and how to apply it using IAM policies. The session will also introduce the Amazon SageMaker Role Manager as a streamlined tool for creating persona-based permissions for Data Scientists and MLOps engineers.

2 lessons•1h total

With Sebastian

Goal: By the end of this lesson, you will be able to explain the core security design principles on AWS and configure appropriate IAM Roles and policies for common machine learning tasks, applying the principle of least privilege.

✨ Immersive AI-powered learning experience

Some of the Skills You Can Develop

Develop

Cloud & DevOps

with Didaxa

All available skills:

AI & Machine Learning

Cloud & DevOps

Marketing & Growth

Project Management

Soft Skills & Leadership

Finance & Accounting

Investing & Trading

Data Analysis & BI

Coding

Business Strategy

Custom Topic

STEM

Math

Physics

Chemistry

Biology

Science

Engineering

Computer Science

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

You can also create your own custom topic!

How Didaxa Works for Professionals

Personalized training that adapts to your pace and career goals

🎯

Ad-Hoc Sessions, Zero Wasted Time

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

💼

Smart Interview Preparation

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

🎧

Too Busy? Podcast On-The-Go

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

🧠

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

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