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artificial intelligence
Artificial Intelligence
AI system design, LLM reliability, retrieval, tool use, evaluation, safety and human oversight.
~25 min
aws
AWS
AWS identity, compute, networking, storage, reliability, observability and cost-aware architecture.
~30 min
business analysis
Business Analysis
Problem framing, requirements, process analysis, stakeholder alignment, metrics and solution validation.
~25 min
c++
C++
Modern C++ ownership, lifetime, STL, concurrency, type design, ABI safety and performance.
~25 min
content marketing
Content Marketing
Content strategy, audience insight, SEO, distribution, measurement and editorial quality.
~25 min
customer success
Customer Success
Onboarding, adoption, value realization, health, renewal, communication and customer feedback.
~25 min
data analysis
Data Analysis
Data cleaning, distributions, experiment reasoning, visualization, causality and decision communication.
~25 min
digital marketing
Digital Marketing
Marketing strategy, acquisition, analytics, conversion, lifecycle and brand execution.
~30 min
docker
Docker
Docker image construction, container runtime behavior, networking, persistence, security and production operations.
~25 min
excel
Excel
Adaptive Excel Skill Proof using quick decisions, applied spreadsheet work, workbook case studies and defence.
~30 min
financial analysis
Financial Analysis
Financial statements, valuation, modeling, forecasting, unit economics and decision controls.
~30 min
git
Git
Commits, branches, fetch/merge/rebase, conflict handling, recovery and safe history changes.
~25 min
github
GitHub
Pull requests, reviews, checks, branch protection, issues, Actions and repository collaboration.
~25 min
go
Go
Go language semantics, concurrency, interfaces, error handling, performance and testing.
~25 min
java
Java
Java language design, collections, exceptions, concurrency, memory, API contracts and performance.
~25 min
javascript
JavaScript
Language fundamentals, async behavior, state, closures and browser-side problem solving.
~25 min
machine learning
Machine Learning
Evaluation, leakage, bias/variance, features, validation, deployment and monitoring.
~25 min
mongodb
MongoDB
Documents, indexes, schema design, aggregation, atomic updates and scale trade-offs.
~25 min