A leading Saudi conglomerate with a diversified portfolio spanning logistics, automotive, manufacturing, real estate, investment, and education. Established in the 1960s, the company has grown from a local transport provider into a global enterprise with operations across the GCC, North America, Europe, the Far East, the Middle East, and Africa. With a workforce of over 5,000 employees, it continues to deliver innovative solutions and services across multiple industries while maintaining a strong commitment to excellence and growth.
A leading company in the Kingdom of Saudi Arabia is looking for a qualified training provider to deliver an online Certified Artificial Intelligence Practitioner (CAIP) training program as part of its employee skills development plan. The training is scheduled for May 2025 and will be conducted online via MS Teams. The program will consist of 40 training hours, delivered in three batches, catering to at least 50 participants, including both Arabic and English speakers.Interested providers are invited to submit a proposal that includes a detailed training course scope, a structured course outline with objectives, and a cost breakdown per participant and batch. Additionally, proposals should include the trainer’s CV, outlining their qualifications and relevant AI expertise, along with any supporting materials such as a training brochure, accreditation details, or relevant templates. To ensure alignment with training expectations, a short interview with the trainer may be required before finalizing the engagement.All proposals must be submitted no later than 18th February 2025. If you have any questions or require further clarification, please feel free to reach out.
Improve their potential skills and integrate this with their daily routine tasks
- Location: Saudi Arabia, Dammam
- Created: Feb 10, 2025
- Deadline: Feb 18, 2025
- Industry/Sector: Transportation, Logistics, Supply Chain and Storage
- Course level: Basic - Advance
- Trainees level: Junior to Senior
- Training venue: Online via MS Teams
- Tentative dates: May 2025
- Timings: TBC
- Budget: Open to discuss the best proposal
- Duration: 40 Training Hours
- Course Category: Engineering