Traditional courses take months. Get job-ready in weeks.
Human-curated paths ready to go: AWS, GCP, ML, AI
AI tutors create custom paths for your career goals
Real sessions with AI coaches, not boring videos
Upload CV + job spec: tailored learning path
No time for a live session today? Listen to a podcast instead!
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.
🎯 Built by professionals, for professionals who want to grow
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.
This lesson introduces the core concepts of AWS object storage. We will start by contrasting object storage (S3) with traditional block storage to understand its unique use cases in cloud applications, particularly for data analytics and backup. We will then define S3 buckets and objects, covering naming conventions and the concept of a flat namespace managed with prefixes. The second half of the lesson will focus on S3 Storage Classes, including S3 Standard, Standard-IA, One Zone-IA, and Intelligent-Tiering. We will analyze the trade-offs between cost, retrieval time, durability (the '11 nines'), and availability for each class, concluding with an introduction to Amazon S3 Glacier for long-term archival.
This lesson introduces the core concepts of Performance Max (PMax) as an AI-driven evolution in Google Ads. We will contrast the traditional, siloed campaign structure (Search, Display, YouTube) with PMax's unified, goal-oriented approach. The focus will be on the three foundational pillars of a successful PMax campaign: 1) Goals: Understanding how defining clear conversion actions serves as the primary objective for Google's machine learning algorithms. 2) Assets: Explaining the shift from creating static ads to providing a portfolio of creative components (headlines, images, videos, logos) that the AI dynamically assembles and optimizes for different channels and users. 3) Audience Signals: Detailing how PMax uses audience suggestions not as rigid targets, but as a starting point for its AI to discover new, high-performing customer segments. The 'doomsday preppers' vs. 'boating and sailing' example will be used to illustrate the power of this machine learning-based audience expansion.
Introduction to AWS object storage with Amazon S3. Covers core concepts like buckets, objects, and keys. Detailed exploration of the S3 consistency model (read-after-write for new objects, eventual for updates/deletes). Deep dive into S3 Storage Classes: Standard, Intelligent-Tiering, Standard-IA, One Zone-IA, and the Glacier tiers. The session will focus on the role of S3 in modern data architecture as a scalable, durable, and cost-effective data lake storage layer, emphasizing the schema-on-read approach.
✨ Immersive AI-powered learning experience
Login to discover more. For ambitious professionals ready to grow
All available skills:
✨ Personalized study plans for every subject, adapted to your level
You can also create your own custom topic!
Personalized training that adapts to your pace and career goals
No generic pre-recorded videos. Only live personalized sessions for you: deep theory or practical assessment. You choose.
Spotted an interesting job posting? Upload CV + job spec: we prepare you with targeted questions, gap analysis and realistic simulations.
Create personalized podcasts from your topics and learn while doing other things: commuting, gym, lunch break.
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.
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