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Ultimate AI & Data Engineering Program
A complete flagship engineering program covering Data, Backend, AI, and Automation
Course Highlights
Training Mode : Live Online Sessions
Duration : 25-30 Weeks
Projects : 10+
Modules
Build strong fundamentals required for real-world engineering.
- Python
- SQL (PostgreSQL, SQLite, BigQuery)
- Git/Github
- Vibe coding
- Streamlit
- Pandas for data processing
- Excel for business data handling
Learn to collect and transform data from real-world sources.
- BeautifulSoup (HTML parsing)
- Selenium Automation
- Advanced web scraping techniques
- LinkedIn, Google, web portals scraping
- Data normalization & validation
- Pandas for Data cleaning & transformation
Build scalable backend systems and APIs.
- FastAPI for backend services
- REST API design & best practices
- Requests library for API integrations
Work with real data pipelines used in industry.
- ETL & Reverse ETL
- Airflow for pipeline orchestration
- Airbyte for data ingestion
- Structured data storage (Postgres, BigQuery)
- Automation workflows
Learn how real systems go to production.
- Docker
- Environment management
- Production deployment
- Scaling & monitoring
Deploy scalable systems on cloud infrastructure.
- EC2 (servers)
- Lambda (serverless apps)
- S3 (storage)
- RDS (databases)
- ECR (Docker images)
- CloudWatch (logs & monitoring)
Work with modern AI systems and LLMs.
- OpenAI, Claude, Gemini
- Prompt engineering
- Building AI agents
- Tool calling & orchestration
Connect systems and build real-world tools.
- MCP server architecture
- Using APIs as tools
- SaaS integrations
- AI Agents
- Chatbots
Data Analytics & Automation Program
Get job-ready or start freelancing fast
Course Highlights
Training Mode : Live Online Sessions
Duration : 8-10 Weeks
Projects : 5+
Modules
Build strong fundamentals required for real-world engineering.
- Python
- SQL (PostgreSQL, SQLite)
- Git/Github
- Vibe coding
- Pandas for data processing
- Excel for business data handling
Learn to collect and transform data from real-world sources.
- BeautifulSoup (HTML parsing)
- Selenium Automation
- Advanced web scraping techniques
- LinkedIn, Google, web portals scraping
- Data normalization & validation
- Pandas for Data cleaning & transformation
Build scalable backend systems and APIs.
- FastAPI for backend services
- REST API design & best practices
- Requests library for API integrations
Work with real data pipelines used in industry.
- ETL & Reverse ETL
- Structured data storage (Postgres, BigQuery)
- Automation workflows
Deploy scalable systems on cloud infrastructure.
- EC2 (servers)
- Lambda (serverless apps)
- S3 (storage)
- RDS (databases)
- ECR (Docker images)
- CloudWatch (logs & monitoring)
Connect systems and build real-world tools.
- OpenAI, Claude, Gemini
- Prompt engineering
- Building AI agents
- Tool calling & orchestration