About This Program
Master serverless architecture and auto-scaling with AWS, Azure, & GCP. Build production-ready applications with CI/CD, monitoring, and live mentorship in this intensive 3-month program.
Course Overview
This intensive 3-month program transforms developers into cloud professionals skilled in serverless architecture. Learn to build, deploy, and manage highly scalable, production-ready applications using AWS Lambda, Azure Functions, and GCP. The course emphasizes hands-on learning with CI/CD pipelines, performance optimization, and an end-to-end capstone project.
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
Cloud Platforms: AWS, Azure, Google Cloud
Serverless Services: Lambda, Azure Functions, Cloud Functions
Databases: DynamoDB, Firebase, MongoDB Atlas
Frameworks & Tools: Serverless Framework, AWS SAM, Git, Postman
CI/CD: GitHub Actions, AWS CodePipeline, Azure DevOps
Monitoring: CloudWatch, Stackdriver, Azure Monitor
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 |
|---|---|---|
Project Scope | End-to-end app (Frontend → Backend → CI/CD → Deployment) | Single-project focused or theoretical case studies |
Learning Format | Live Classes + Weekly Code Reviews + Real Projects | Mostly self-paced recorded videos |
CI/CD & DevOps | Full automated pipeline setup (testing, deployment) | Limited or no coverage |
Auto-Scaling & Performance | Deep labs on scaling, caching, and optimization | Covers basic concepts only |
Cloud Platforms | Multi-cloud exposure (AWS, Azure, GCP) | Usually focused on a single provider like AWS |
Mentorship | Small batches, 1:1 feedback, and doubt clearing | Limited or no personalized mentor support |
Placement Support | Tailored mock interviews, resume prep, hiring connections | None or very limited career support |
Job Roles After Program
Explore exciting career opportunities
Cloud Developer / Serverless Developer
Backend Developer (Serverless)
DevOps Engineer (Serverless CI/CD)
Full-Stack Developer with Cloud Expertise
Site Reliability Engineer (SRE)
Become the top 1% in your domain
Explore our specialized programs to accelerate your career
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