Career & Learning Roadmaps

Explore structured, step-by-step paths designed by Learn2Earn Labs to help students build solid skills and become job ready in their chosen domain.

Each roadmap includes clear stages, tools, and technologies from beginner to advanced level.

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Java Full Stack Developer Roadmap

Learn HTML, CSS, JavaScript, Core Java, Spring Boot, databases, and deployment to become a job ready Java Full Stack Developerfor enterprise web applications.

  • Ideal for: Students aiming for enterprise IT jobs
  • Duration: 6 – 9 months
  • Focus: Web apps, REST APIs, microservices
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Full Stack Web Developer Using JS Roadmap

Master MongoDB, Express, React, and Node to build modern, responsive applications with real-world projects and API integrations.

  • Ideal for: Web development enthusiasts
  • Duration: 5 – 7 months
  • Focus: Single page apps, REST APIs, deployment
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Data Analytics using Python Roadmap

Move from Excel-level analysis to Python, NumPy, Pandas, SQL, and dashboarding to analyze real datasets and create business insights.

  • Ideal for: BCA, B.Com, MBA, B.Tech students
  • Duration: 4 – 6 months
  • Focus: Data cleaning, EDA, reporting, dashboards
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Professional Digital Marketer Roadmap

Cover SEO, social media marketing, Google Ads, content strategy, and analytics with a practical, campaign-focused learning path.

  • Ideal for: Marketing, MBA, business students
  • Duration: 3 – 5 months
  • Focus: Campaigns, leads, branding & analytics
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UI/UX Designer
Roadmap

Learn user research, wireframing, prototyping, and design systems to create intuitive and visually appealing digital products for various real-world applications.

  • Ideal for: Creative and design-focused students
  • Duration: 3 – 6 months
  • Focus: Wireframes, prototypes, usability
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Linux, Cloud & DevOps Roadmap

Build a strong foundation in Linux, cloud platforms, CI/CD, containers, and monitoring tools for modern DevOps roles across different practical environments.

  • Ideal for: Students comfortable with basics of IT
  • Duration: 4 – 6 months
  • Focus: Automation, deployment, reliability
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Data Science & Machine Learning Roadmap

Learn Python, NumPy, Pandas, data visualization, statistics, machine learning algorithms, model deployment, and real-world project workflows to become an industry-ready Data Science & Machine Learning Engineer.

  • Ideal for: Students aiming for careers in Data Science, ML, and AI
  • Duration: 6 – 10 months
  • Focus: Data processing, ML models, feature engineering, model tuning, deployment
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Generative AI Expert
Roadmap

Learn Python, deep learning foundations, transformers, NLP, diffusion models, prompt engineering, fine-tuning LLMs, and building AI-driven applications to become a job-ready Generative AI Expert for modern industry projects.

  • Ideal for: Students aiming for careers in AI, ML, and LLM-based development
  • Duration: 6 – 10 months
  • Focus: LLMs, GANs, diffusion models, embeddings, RAG systems, AI app development
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