Our curriculum was created with consultation from hiring managers at top AI companies and is constantly updated as the industry evolves.
We’re building a network of the brightest AI talent and relationships with the very best AI companies in AI. Our alumni network is our greatest asset
Financial background should not be an obstacle to realising your potential. Our tuition plans are designed to be accessible to all.
Our career coach will work with you so you feel confident going into any hiring process. We also recommend you for exclusive roles with our partners and a lot more
Command line, Git and Github, Python, Webscraping, Algortihms and Data structures, Software design and testing, SQL, Docker, AWS, CI/DC
Big data foundations, Data ingestion, Kafka, Flume, Data governance and quality, ETL, No/SQL, MongoDB, Spark, Streaming, Airflow
Statistical testing, Intro to Machine Learning, Maximum Likelihood Estimation, Supervised Models, Ensembles, Unsupervised learning techniques, Neural netoworks
Intro to Machine Learning, Neural networks, Transfer learning, GPU acceleration, Building APIs, Kubernetes, Apache Airflow
Your financial background should be no barrier to accessing a quality education. Our wide range of tuition plans are designed to give you ultimate flexibility regardless of your circumstances.
Pay the tuition cost in manageable monthly installments over 24 months.
Deutsche bank is a leading global investment bank with a strong and profitable private clients franchise
Deutsche bank uses the first unit of the AiCore curriculum in their engineering training days.
AiCore was selected as the official AI school for the UK India Tech Partnership.
We delivered our industry-informed curriculum to a cohort of 78 students on behalf of the British High Commission in India.
Refinitiv is one of the world’s largest providers of financial markets data and infrastructure.
AiCore students were given access to their Eikon API. They applied sentiment analysis to Refinitiv’s Machine Readable News - to predict the rise and fall of real stock data.