AI Engineering Online Course 2 (Soon)

Service Description

Online Course Core Learning plan Session 5: Basics of Data analysis, Introduction to BigquerySQL (Cloud Data Warehousing), Big Data processing e.g. spark. Using Cloud Services. Session 6 (TBC): AI/ML crash course and scope on the interested use case e.g. Forecasting, anomaly detection, image recognition, etc. Session 7 (TBC): Engineering & Operations topics e.g. CI/CD pipelines, ML Pipeline with vertex AI, Integration with Line (Optional) Session 8: Model monitoring, statistics test, model drift, quality for traditional AI, Generative AI and Agentic AI Each session can contain up to 2-4 hours of tutoring and several hours of homework. Typical structure 1. Review last week’s material 2. Review homework & Q/A 3. Go through new materials 4. Hands-on programming. 5. For big topics, conduct a discovery workshop to identify focus areas and make the materials relevant. Our way of teaching means each person goes at different pace & levels. We will customize the curriculum tailored to your needs