About This Program
Transform into a job-ready professional Angular developer in 1 month with live classes, hands-on projects, code reviews, and placement support.
Course Overview
This 1-month intensive program is designed to transform engineering graduates into professional Angular developers capable of delivering production-ready web applications. It emphasizes hands-on projects, professional practices, code reviews, and deployment, preparing learners to join real Angular projects immediately.
What You Will Learn
Hands-on Projects
Apply your learning through real-world projects that build your portfolio
Unique method to make you professionally rich
Progress through our comprehensive program which makes qualified professional to earn their awards
Bronze Award
Begin your journey with foundational skills and basic certification.
Course Curriculum
Technologies You Will Learn
Master the most in-demand tools and technologies for data analytics
Angular (v15+)
TypeScript
RxJS
NgRx
Angular Material
REST APIs & GraphQL
Testing (Jasmine, Karma, Cypress)
CI/CD (GitHub Actions)
Git
VS Code
What Our Students Say
Hear from our students who have transformed their careers
Why Choose Edjamon?
Discover the difference between Edjamon and traditional platforms
| Features & Criteria | EdJAMON | Others |
|---|---|---|
Duration | 1 Month (intensive, job-ready) | 4–8 Months (longer, less focused) |
Learning Format | Live Classes + Mentor Support + Real Projects | Mostly self-paced, recorded videos |
Core Technologies | Angular v15+, TypeScript, RxJS, NgRx | Covers Angular basics, often skips advanced topics |
API & Backend | REST APIs + GraphQL (Apollo Angular) | Mostly limited to REST basics only |
State Management | NgRx (Store, Reducers, Effects) | Often skipped or taught at surface-level |
Testing | Unit & E2E testing (Jasmine, Cypress) | Minimal testing (if any) |
CI/CD & Deployment | GitHub Actions + Deployment to Firebase | Rarely included, manual deployments only |
Capstone Project | Full-featured deployed Angular app | Case studies or toy apps only |
Mentorship & Code Reviews | Weekly reviews, 1:1 mentoring, professional practices | Very limited or none |
Cost & Value | Affordable, outcome-driven | Higher cost, longer duration, generic content |
Job Roles After Program
Explore exciting career opportunities
Angular Developer
Frontend Engineer
Software Engineer (Frontend)
Web Developer
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Resources & References
Access curated external resources to deepen your understanding
LLMs & Generative AI
Official guide for GPT models and API usage
Pre-trained models, datasets, and community resources
Open-source LLaMA models and implementation guides
Claude AI research papers and documentation
RAG & Framework Docs
Complete guide to building LLM applications
Data indexing framework for LLM applications
Step-by-step RAG implementation
Efficient open-source LLM models
Vector Databases
Cloud-native vector database for AI applications
Facebook's efficient similarity search library
Open-source ML-first vector database
Open-source embeddings database
Best Practices & Learning
OpenAI's official prompt engineering best practices
Academic foundation for RAG architectures
Real-world RAG implementation patterns
Security and ethical considerations for AI apps
Deployment & DevOps
Containerization and deployment guide
CI/CD automation and workflow automation
Build data apps with simple Python scripts
Cloud deployment and infrastructure setup
Python & Development
Complete Python language reference
Modern Python web framework for APIs
Numerical computing with Python
Data manipulation and analysis library
Frequently Asked Questions
Find answers to common questions