Career Goal Templates

This roadmap is designed to help you master TOEFL preparation through structured learning, utilizing available resources like online courses, tutoring, textbooks, practice tests, and study groups. The focus is on achieving fluency, with tasks distributed across three main tracks: Language Skills, Test Strategies, and Practice Tests.

Need to learn SQL queries, joins, indexes, normalization, schema design. Practice with real-world database scenarios.

Need Linux, Docker, CI/CD, Kubernetes, monitoring, IaC, cloud platforms, security basics.

Want to build a production-ready app with auth, database, REST API, React frontend, deployment. Use modern best practices.

Want to learn variables, loops, functions, OOP, file handling, and build 3 small projects. Focus on practical exercises.

Cover init, commit, branch, merge, rebase, pull requests, GitHub workflows, and collaboration patterns.

Cover fundamentals: variables, functions, DOM manipulation, async/await, ES6+, and build interactive web pages.

Need Python, statistics, pandas, scikit-learn, visualization, SQL, ML basics, portfolio projects.

Want to build and publish a real mobile app to App Store/Play Store. Cover navigation, state, APIs, native modules.

Need to learn types, interfaces, generics, utility types, strict mode, and migrate a JS project to TS.

Want to understand supervised/unsupervised learning, neural networks, scikit-learn, TensorFlow, build 5 ML projects.

Cover EC2, S3, RDS, Lambda, VPC, IAM, and prepare for AWS Cloud Practitioner certification.

Build a complete API with auth, CRUD, validation, error handling, testing, documentation, deployment.

Cover network security, encryption, OWASP, penetration testing basics, incident response, compliance frameworks.

Master HTML, CSS, JavaScript, React, responsive design, accessibility, performance, build a portfolio of 5 projects.

Cover validation, MVP, auth, payments, hosting, monitoring, landing page, launch strategy, first 100 users.

Practice designing distributed systems, databases, caching, load balancing, real-world architectures.

Master arrays, trees, graphs, sorting, dynamic programming, practice 100+ LeetCode problems by pattern.

Learn FastAPI/Django, databases, ORM, caching, queues, testing, deployment, API design patterns.

Cover pods, services, deployments, ConfigMaps, Helm, monitoring, auto-scaling, production cluster management.

Use OpenAI API, build RAG pipeline, embeddings, conversation memory, deploy as a web service.

Learn navigation, file management, permissions, scripting, grep/sed/awk, system administration basics.

Learn React Native or Flutter, backend APIs, push notifications, app store deployment, analytics, crash reporting.

This roadmap focuses on mastering the Logical Reasoning section of the LSAT, addressing specific challenges in assumption and reasoning question types. It aims to improve reasoning skills, pacing, and recognition of patterns in trap answers to achieve a 170+ score.