1 year and 2 year tracks to become a full stack developer

  Here's a roadmap for two types of students aiming to become full stack developers.






Click the image to enlarge.




(A) 1-Year Full Stack Development Roadmap




#### Month 1-3: Basics and Frontend


- **Programming**: JavaScript, HTML, CSS


- **Frameworks**: React or Vue.js


- **Styles**: Tailwind CSS or Bootstrap




#### Month 4-6: Backend and Databases


- **Programming**: Python or Java


- **Middleware**: Redis, Elastic


- **Database**: MySQL or PostgreSQL




#### Month 7-9: Advanced Frontend and Mobile


- **Frameworks**: Angular.js or Svelte


- **Mobile**: Flutter or Android SDK




#### Month 10-12: DevOps and Cloud


- **CI/CD**: Jenkins, Git


- **Cloud**: AWS or Google Cloud


- **Container**: Docker, Kubernetes




(B) 2-Year Full Stack Development Roadmap




#### Year 1: Foundation and Intermediate Skills




##### Month 1-3: Basics and Frontend


- **Programming**: JavaScript, HTML, CSS


- **Frameworks**: React or Vue.js


- **Styles**: Tailwind CSS or Bootstrap




##### Month 4-6: Backend and Databases


- **Programming**: Python or Java


- **Middleware**: Redis, Elastic


- **Database**: MySQL or PostgreSQL




##### Month 7-9: Advanced Frontend and Mobile


- **Frameworks**: Angular.js or Svelte


- **Mobile**: Flutter or Android SDK




##### Month 10-12: DevOps and Cloud


- **CI/CD**: Jenkins, Git


- **Cloud**: AWS or Google Cloud


- **Container**: Docker, Kubernetes




#### Year 2: Advanced Skills and Specialization




##### Month 13-15: Advanced Backend and Middleware


- **Programming**: C++ or Java


- **Middleware**: Kafka, RabbitMQ


- **Database**: MongoDB or Cassandra




##### Month 16-18: UI/UX and Mobile


- **UI/UX**: Adobe XD, Figma, Sketch


- **Mobile**: Swift, Unity, Ionic




##### Month 19-21: Advanced Cloud and Infrastructure


- **Cloud**: Azure, Google Cloud


- **Infrastructure**: Ansible, Chef, Terraform




##### Month 22-24: Specialization and Projects


- **Specialization**: Choose a specific area (e.g., DevOps, Mobile Development, Cloud Services)


- **Projects**: Work on real-world projects to apply skills




This roadmap provides a structured approach for both 1-year and 2-year learning tracks, ensuring a comprehensive understanding of full stack development. Feel free to adjust based on your interests and pace!

Comments

Post a Comment

Popular posts from this blog

HL7 integration tools

  NextGen Connect (formerly Mirth Connect) is a purpose-built open-source health care integration tool that exchanges message standards into systems. In the process data formats and standards like HL7, DICOM, ANSI X12, ASCII, and XML. are used. Using open-source technology of Mirth Programming, healthcare institutions can build a system that stores and transmits data and can meet the ever-increasing demands of modern medicine, scalability and elasticity.  More:  https://santeware.com/why-is-mirth-connect-the-preferred-interface-engine/ Iguana HL7 engine offers healthcare providers the ultimate healthcare integration interoperability that facilitates easier exchange of healthcare data with any application, system, and device regardless of data standard or protocol. KPi-Tech offers diverse and comprehensive services, including comprehensive support of hardware functions, capacity, strawberries, support architecture design, material requirements definition, server, and facil...
Read more

Career routes and examples of professionals progressing to AI/ML professional

Reaching the level of an AI/ML Architect specializing in Generative AI typically requires a combination of strong technical expertise, continuous learning, and career progression through increasingly complex roles in AI and data science. Below are some common career routes and realistic examples of professionals progressing to this level : Career Routes 1. Academic to Industry Path Phase 1: Education and Research Earn a Bachelor's/Master's in Computer Science, Mathematics, or a related field. Pursue a Ph.D. in AI, ML, or NLP with a focus on generative AI topics such as transformers, GANs, or large language models. Publish research papers or contribute to open-source AI projects. Phase 2: Entry into Industry Begin as a Research Scientist or AI Engineer in a research-driven organization or lab. Phase 3: Senior Roles Transition to senior roles like Lead ML Engineer or Principal Data Scie...
Read more