Our Programs
Comprehensive Technology Training Programs
Designed for working professionals, our programs combine theory with hands-on practice to ensure you're job-ready from day one.
Full Stack Development Program
Master modern web development from frontend to backend with industry-relevant technologies and build production-ready applications.
4-6 Months
Level: Beginner to Advanced
Level: Beginner to Advanced
Comprehensive Curriculum
Module 1: Frontend Fundamentals (4 Weeks)
- HTML5 & Semantic Structure
- CSS3, Flexbox, Grid & Responsive Design
- JavaScript ES6+, DOM Manipulation
- Bootstrap 5 Framework
- Version Control with Git & GitHub
Module 2: Advanced Frontend with React (6 Weeks)
- React.js Components & JSX
- State Management & Props
- React Hooks & Context API
- React Router for SPA
- API Integration & Axios
- Redux for Complex State Management
Module 3: Backend Development with Node.js (6 Weeks)
- Node.js & npm Ecosystem
- Express.js Framework
- RESTful APIs & HTTP Methods
- Middleware & Authentication
- JWT Tokens & Security
- File Upload & Email Integration
Module 4: Database & Deployment (4 Weeks)
- MongoDB & Mongoose ODM
- Database Design & Relationships
- Cloud Deployment (Heroku, Netlify)
- AWS S3 & CloudFront
- Performance Optimization
- Testing & Debugging
Capstone Projects
- E-commerce Platform: Full-featured online store with payment integration
- Social Media App: Real-time chat and post sharing application
- Task Management System: Collaborative project management tool
Technologies You'll Master
HTML5
CSS3
JavaScript
React.js
Redux
Node.js
Express.js
MongoDB
Git
AWS
Program Features
- Live Interactive Classes
- 1:1 Mentorship
- Real-world Projects
- Career Guidance
- Placement Assistance
- Lifetime Access
Cloud & DevOps Engineering Program
Master cloud platforms, automation, and modern DevOps practices to become a sought-after DevOps engineer.
5-6 Months
Level: Intermediate to Advanced
Level: Intermediate to Advanced
Comprehensive Curriculum
Module 1: Linux & Networking Fundamentals (3 Weeks)
- Linux System Administration
- Shell Scripting & Automation
- Networking Concepts & Security
- SSH, Firewall & System Monitoring
Module 2: AWS Cloud Platform (8 Weeks)
- AWS Core Services (EC2, S3, VPC)
- IAM, Security Groups & Best Practices
- Load Balancers & Auto Scaling
- RDS, DynamoDB & Storage Services
- Lambda & Serverless Computing
- CloudFormation & Infrastructure as Code
Module 3: Containerization & Orchestration (6 Weeks)
- Docker Fundamentals & Containerization
- Docker Compose & Multi-container Apps
- Kubernetes Architecture & Components
- Pods, Services & Deployments
- ConfigMaps, Secrets & Volumes
- Kubernetes Monitoring & Troubleshooting
Module 4: CI/CD & Automation (5 Weeks)
- Git Advanced & Branching Strategies
- Jenkins Pipeline & Automation
- GitHub Actions & GitLab CI
- Ansible for Configuration Management
- Terraform for Infrastructure Automation
- Monitoring with Prometheus & Grafana
Industry Projects
- Multi-tier Application Deployment: Complete cloud infrastructure setup
- Microservices on Kubernetes: Container orchestration project
- End-to-end CI/CD Pipeline: Automated deployment workflow
Technologies You'll Master
AWS
Docker
Kubernetes
Jenkins
Ansible
Terraform
Linux
Git
Prometheus
Grafana
Program Features
- Hands-on AWS Labs
- Industry Expert Mentors
- Real Cloud Projects
- AWS Certification Prep
- DevOps Career Path
- 24/7 Lab Access
Data Engineering Program
Build scalable data pipelines and master big data technologies to become a data engineering expert.
6 Months
Level: Intermediate to Advanced
Level: Intermediate to Advanced
Comprehensive Curriculum
Module 1: Python for Data Engineering (4 Weeks)
- Python Programming Fundamentals
- Data Structures & Algorithms
- Pandas, NumPy & Data Manipulation
- API Development with FastAPI
- Database Connectivity & SQLAlchemy
Module 2: SQL & Database Systems (5 Weeks)
- Advanced SQL & Query Optimization
- PostgreSQL & MySQL Administration
- NoSQL Databases (MongoDB, Cassandra)
- Data Warehousing Concepts
- Database Design & Normalization
- Data Modeling & ETL Fundamentals
Module 3: Big Data Technologies (8 Weeks)
- Apache Spark & PySpark
- Spark SQL & DataFrames
- Apache Kafka & Real-time Streaming
- Hadoop Ecosystem & HDFS
- Apache Airflow for Workflow Management
- Data Lake Architecture & Design
Module 4: Cloud Data Platforms (5 Weeks)
- AWS Data Services (Redshift, Glue, EMR)
- Amazon S3 & Data Lake Implementation
- Apache Snowflake Data Warehouse
- Docker & Kubernetes for Data Apps
- Data Pipeline Monitoring & Alerting
- Performance Tuning & Optimization
Real-world Projects
- E-commerce Data Pipeline: End-to-end data processing system
- Real-time Analytics Platform: Streaming data processing with Kafka
- Data Lake Implementation: Scalable data storage and processing
Technologies You'll Master
Python
Apache Spark
Kafka
Airflow
SQL
AWS
Snowflake
MongoDB
Docker
Pandas
Program Features
- Big Data Lab Access
- Industry Case Studies
- Real Data Pipeline Projects
- Cloud Platform Credits
- Data Engineering Certification
- Career Transition Support
AI & Machine Learning Program
Master artificial intelligence and machine learning to build intelligent systems and advance your career in AI.
6 Months
Level: Intermediate to Advanced
Level: Intermediate to Advanced
Comprehensive Curriculum
Module 1: Python & Math Foundations (4 Weeks)
- Python for Data Science
- NumPy, Pandas & Matplotlib
- Statistics & Probability
- Linear Algebra for ML
- Data Preprocessing & Visualization
Module 2: Machine Learning Fundamentals (6 Weeks)
- Supervised Learning Algorithms
- Unsupervised Learning & Clustering
- Scikit-learn & Model Building
- Feature Engineering & Selection
- Model Evaluation & Validation
- Hyperparameter Tuning
Module 3: Deep Learning & Neural Networks (8 Weeks)
- TensorFlow & Keras Fundamentals
- Neural Networks & Backpropagation
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Computer Vision & Image Processing
- Natural Language Processing (NLP)
Module 4: Advanced AI & Deployment (6 Weeks)
- PyTorch & Advanced Deep Learning
- Generative AI & Large Language Models
- MLOps & Model Deployment
- Cloud ML Services (AWS SageMaker)
- Model Monitoring & Maintenance
- AI Ethics & Responsible AI
AI/ML Projects
- Recommendation System: Build an e-commerce recommendation engine
- Computer Vision App: Image classification and object detection
- NLP Chatbot: Intelligent conversational AI system
Technologies You'll Master
Python
TensorFlow
PyTorch
Scikit-learn
Keras
OpenCV
NLTK
Pandas
AWS ML
MLflow
Program Features
- GPU-enabled Labs
- AI Research Projects
- Industry Case Studies
- Kaggle Competition Prep
- AI Career Guidance
- Research Paper Reviews
Ready to Transform Your Career?
Join thousands of professionals who have successfully transitioned into high-paying tech roles with System Codex programs.