Learn Industry Ready Skills

Turn raw spreadsheets into dashboards that get you hired — hands-on SQL, Python, and Power BI, capped with a portfolio project that proves it.

Go from fundamentals to advanced scripting in Python, the most in-demand language for data, automation, and AI.

Write efficient queries, design schemas, and manage relational databases used by virtually every data-driven company.

Master formulas, pivot tables, and dashboarding techniques that power everyday business analysis.

Learn both traditional software QA fundamentals and the emerging discipline of testing AI/LLM-powered features — prompt regression testing, evaluation datasets, and safety/bias testing.

Master statistics, Python, and predictive modeling to turn raw data into actionable business intelligence.

Create interactive dashboards and reports that turn spreadsheets into clear, decision-ready visual stories.

Learn to design, build, and operate production-grade data pipelines — from ingestion and warehousing to distributed batch processing, streaming, and cloud lakehouse platforms.

Learn to build language-understanding systems — from tokenization and classical NLP through transformer fine-tuning and retrieval-augmented LLM applications.

Learn to build retrieval-augmented AI systems that ground large language models in real data, then automate business workflows around them end to end.

Learn to design, orchestrate, and ship autonomous AI agents that plan, use tools, and collaborate with each other to complete multi-step tasks.

Learn to build production AI-powered applications end-to-end — integrating Claude, GPT, and Gemini APIs into full-stack apps, with proper testing, evaluation, and deployment.

Learn to build, train, and deploy AI models that solve real business problems — predictive analytics and automation, not just theory.

Design, train, and deploy machine learning models with hands-on projects covering classification, regression, and clustering.

Build a solid foundation in neural networks, then design, train, and deploy CNNs, sequence models, transformers, and generative architectures using PyTorch.