Strategy & Transformation
Artificial intelligence training
Publiée le June 30, 2025
Publiée le June 30, 2025
In 2025, Palmer Consulting, a recognized player in strategy and transformation consulting, strongly recommends that its customers, partners and employees invest in targeted artificial intelligence training. These programs serve not only technical experts, but also managers, HR, marketers or project leaders wishing to understand, integrate or steer AI projects.
Here’s an enriched selection of the best AI training courses on the market in 2025, tested or recommended by Palmer consultants for personal use or team upskilling.
Format: 100% online, individual coaching.
Duration: Approximately 2 months (autonomy + coaching).
Objective: Use tools such as ChatGPT, Notion AI, Midjourney, or automate your tasks with Make or Zapier.
Why Palmer recommends: Ideal for business profiles who want to quickly understand generative AI and apply it to their day-to-day work without coding.
Level: Beginner/intermediate, with basic Python skills.
Duration: 7 weeks (4-8h/week).
Contents: AI logic, search algorithms, facial recognition, reinforcement learning, strategy games.
Why Palmer recommends: Rigorous teaching, motivating projects, strong academic recognition. Excellent springboard to technical positions.
Link: cs50.harvard.edu
Level: Advanced.
Duration: 4 to 6 months, 5 modules.
Key modules:
Neural networks and backpropagation
Optimization, dropout, initialization
CNN, RNN, LSTM, NLP
Why Palmer recommends: This is THE reference for mastering the fundamentals of deep learning. Recommended for any tech person involved in complex AI projects.
Link: coursera.org
Level: General public.
Duration: 6 to 8 weeks.
Contents: Basic concepts, ethics, limits of AI, fields of application.
Why Palmer recommends: Excellent starting point for raising awareness of AI among general management, business lines and support functions without technical jargon.
Link: elementsofai.com
Level: Intermediate to advanced.
Contents:
Content creation (text/image)
Use of OpenAI APIs, stable distribution
Assisted generation projects
Why Palmer recommends: Practical training in line with new business needs (design, marketing, content, augmented products).
Link: wildcodeschool.com
Level: Decision-makers, managers, product owners.
Duration: 4 weeks.
Contents:
Identify AI cases in your company
Structuring an in-house AI project
Recruiting and managing AI teams
Why Palmer recommends: Allows any manager to become a player (and not just a spectator) in the AI process within his or her area.
Link: coursera.org
Level: Executive / Top Management.
Duration: 1 year (part-time).
Audience: C-level, innovation/transformation managers.
Why Palmer recommends: Comprehensive strategic approach to AI, business & tech hybridization, highly suited to transformations at scale.
Link: hec.edu
Level: Beginner to expert.
Duration: 12 intensive weeks (or part-time format).
Content: Python, SQL, Machine Learning, Deep Learning, NLP, deployment.
Why Palmer recommends: To recruit or train data scientists/engineers who are immediately operational.
Link: jedha.co
As a consulting firm specializing in AI, data and transformation, Palmer integrates these training courses into :
The training plan for its own consultants
Acculturation of customer teams
Skills enhancement projects as part of digital transformation plans
Palmer therefore strongly recommends that you explore these options for :
Gain autonomy on your AI projects
Collaborate better with your tech teams
Make informed choices about your AI investments