What You'll Learn
Comprehensive curriculum designed by industry experts
Modern Data Stack
- Data Lakes vs Warehouses
- Snowflake/Databricks
- dbt (Data Build Tool)
- Orchestration
- Data Governance
- Cost Management
Vector Databases
- Embeddings
- Pinecone
- Weaviate
- Milvus
- Indexing Strategies
- Similarity Search Algorithms
Real-time Data
- Stream Processing
- Apache Kafka
- Flink
- Spark Streaming
- Change Data Capture (CDC)
- Low-latency Pipelines
Feature Engineering Ops
- Feast Feature Store
- Online vs Offline Store
- Point-in-time Correctness
- Data Quality Checks
- Schema Evolution
- Data Lineage
Live Projects
Build real-world applications that look great on your portfolio
RAG Knowledge Graph
Build a scalable knowledge base using vector DB and graph database integration.
Neo4jPineconePythonLangChain
Real-time Fraud Detection Feeds
Ingest and process transaction data in milliseconds for ML inference.
KafkaSparkFeastRedis
Prerequisites
- Strong SQL/Python
- Database knowledge
- Cloud basics
Career Outcomes
- Architect data platforms
- Manage vector stores
- Build streaming pipelines
- Support AI at scale
Tools You'll Master
PineconeKafkadbtSnowflakeAWS
Certification
AI Data Engineer Certificate
Performance-based stipend
Apply for This Internship
Start your journey with AI Data Infrastructure Internship