A crash course session explaining what AI technology is, where it is heading and how it can be used to create business values and opportunities in different types of organizations.

The main purpose of this brainstorming workshop is to help organisations identify and select the best application areas (use cases) in their business, where they can utilize the power and benefits of AI/ML. During a structured setup, facilitated by experienced instructors, participants are encouraged to write down, present and prioritise their AI/ML ideas.&nbsp;Pre-defined AI Opportunity Cards are used for elaboration on perceived benefits and challenges associated with each case. The outcome from this workshop is a list of the most suitable AI/ML use cases - and participants prepared to kickstart the process of implementing those.

One-day course preparing leaders, decision makers and other employees engaged in AI/ML project to drive better business by making insightful AI strategy decisions and resulting in beneficial project outcomes. Upon completing the course participants receive a Certificate of Accomplishment.

The main objective with the academy is to supplement developers/programmers and other technical profiles with advanced skillsets in the field of Data Science, allowing them to take on data science and data engineering tasks in their organisations. The full 3-day academy is well-structured and pedagogical, covering all necessary ML frameworks, tools, techniques and other insights required for building, training and deploying predictive ML models for three data types (text, image/vision and time-series). The theoretical content is combined with hands-on exercises, with focus on the latter. The academy is customizable in terms of time and content, to fit the specific AI/ML maturity of the participants and the needs of the organisation. Experience with one programming language is a prerequisite, Python being the language used during the course.

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