AI Consultant

Course overview

Many companies want to implement artificial intelligence but do not know where to start. This training provides insights into the work of an AI consultant: clarifying needs, realistically assessing possibilities, and guiding organizations with well-founded recommendations towards sustainable decisions. Clarifying consulting occasions and needs Good consulting begins with listening and precise questions, not with solutions. - Structure and question the concerns of clients without jumping to solutions too quickly - Identify the actual problem behind the desire for AI - Realistically assess expectations regarding benefits, effort, and timelines Analyzing the current situation The analysis provides the foundation on which every subsequent recommendation stands. - Systematically gather processes, data situation, and existing tools without disrupting operations - Assess and realistically categorize the organization's maturity in dealing with AI - Identify hurdles such as data quality, know-how, and acceptance Evaluating solution options There are many gradations between ready-made tools and in-house development. - Weigh market offerings, adaptations, and in-house solutions against each other - Clearly compare costs, benefits, and risks for each option - Include requirements for data protection and regulation in the evaluation - Demonstrate feasibility with small tests instead of promises that no one can fulfill later Developing and advocating recommendations A recommendation is convincing when the path to it is understandable. - Clearly structure decision templates: options, evaluation, recommendation - Present results to executives and answer critical questions without resorting to jargon - Outline a realistic implementation path with initial steps instead of an ideal image Advising during implementation - Define milestones and success criteria together with the client - Evaluate interim results and initiate course corrections Tools of everyday consulting Good consulting relies on a small set of reliable tools. - Design and evaluate interviews and surveys purposefully - Moderate workshops for joint analysis and evaluation - Use maturity models as conversation and classification aids - Present results visually to facilitate decision-making This course teaches how unclear AI wishes can become reliable decisions and how consulting works from analysis to implementation support.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-03T23:00:00.000Z · 2027-05-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-11-17T23:00:00.000Z · 2027-01-19T23:00:00.000Z · Virtuelles Klassenzimmer