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.

Get AWS Solutions Architect certified

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.

Google Ads

Ads for E-commerce

This lesson covers the essential business and website prerequisites for launching a successful Google Ads campaign for an e-commerce store. We will analyze key strategic elements such as budget allocation (minimum thresholds and expectations), profit margin analysis, and defining a unique selling proposition (USP). We will then transition to the technical foundation, focusing on Website Conversion Rate Optimization (CRO). This includes a checklist for improving site speed, ensuring mobile-friendliness, and enhancing product page elements like high-quality imagery, social proof (reviews), and clear calls-to-action (CTAs) to maximize the return on ad spend.

4 lessons•2h total

With Joanna

Goal: The student will be able to critically evaluate an e-commerce business's readiness for paid advertising and identify key areas for website optimization to improve conversion rates before launching campaigns.

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.

AI Engineering

Best practices for orchestrating LLM function calls using the Instructor Python library

Introduction to the problem of unstructured LLM outputs and the role of the Instructor library. This lesson will cover the core concepts of using Pydantic models to define expected data structures, and how to use the `instructor.patch()` function to enable structured outputs from the OpenAI API. We will walk through a hands-on example of extracting a well-defined user profile from a block of text, focusing on the simplicity and reliability Instructor brings over manual JSON parsing and validation.

2 lessons•1h total

With Sebastian

Goal: The user will be able to set up the Instructor library, define a Pydantic model for a desired data structure, and perform a basic function call to an LLM that returns validated, structured data.

✨ Immersive AI-powered learning experience

Some of the Skills You Can Develop

Develop

AI & Machine Learning

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

Create Your Account

Start your personalized learning experience

Already have an account?