Course overview
Machine Learning with Python is an introduction that builds a solid working knowledge in Machine Learning with Python. It covers the principles, the requirements of ISO 27001, NIST CSF, ITIL 4 and COBIT 2019, and the practical methods used on site, with case studies from operations in the Gulf, Africa and worldwide. Available online, in the classroom in 60 cities, or in-house.
What participants will be able to do
- Explain the principles, terminology and scope of Machine Learning with Python
- Apply the relevant requirements of ISO 27001, NIST CSF, ITIL 4 and COBIT 2019
- Use practical tools, checklists and calculations with confidence
- Recognise common problems, risks and root causes and choose the right corrective action
- Prepare an improvement plan for their own site or organisation
Who should attend
Designed for IT professionals, analysts, engineers and digital transformation teams, new joiners and anyone who needs a solid grounding in the subject.
Course outline (5 days)
- Day 1: Principles and terminologyScope, key definitions and how Machine Learning with Python fits into daily operations
- Day 2: Codes, standards and requirementsWhat ISO 27001, NIST CSF, ITIL 4 and COBIT 2019 require, and how to read them
- Day 3: Methods, tools and calculationsStep-by-step methods, checklists and worked examples
- Day 4: Operation, inspection and common problemsTypical failures, warning signs and what to do about them
- Day 5: Case studies, workshop and assessmentGroup exercise on real cases and a final knowledge check
What the 10-day edition adds
- Day 6: Applied project, part 1Apply the week-one methods to a case from your organisation
- Day 7: Data and digital toolsSoftware, spreadsheets and digital tools used in practice
- Day 8: Lessons from incidents and auditsWhat investigations and audit findings teach
- Day 9: Applied project, part 2Complete, test and refine your solution
- Day 10: Presentations and final assessmentPresent to the group and complete the final assessment
Training method and certificate
Interactive sessions, practical exercises, case studies and pre- and post-course assessments. Participants receive a Qimma Global Training certificate of completion stating the training hours (30 hours for 5 days, 60 hours for 10 days). Delivered in English or Arabic.
Dates 2027–2030
None of these dates work? We run this course for your team on the date and in the place you choose.
| Dates | City | Duration | Fee | |
|---|---|---|---|---|
| 24–28 May 2027 | Bangkok Classroom | 5 days | $5,500 | Register |
| 31 May – 11 Jun 2027 | Brussels Classroom | 10 days | $9,900 | Register |
| 25–29 Jul 2027 | Doha Classroom | 5 days | $5,500 | Register |
| 9–20 Aug 2027 | Rome Classroom | 10 days | $9,900 | Register |
| 25–29 Oct 2027 | Online (live) Online (live) | 5 days | $3,000 | Register |
| 10–14 Jan 2028 | Kuala Lumpur Classroom | 5 days | $5,500 | Register |
| 21 Feb – 3 Mar 2028 | Prague Classroom | 10 days | $9,900 | Register |
| 8–12 May 2028 | Edinburgh Classroom | 5 days | $5,500 | Register |
| 11–22 Jun 2028 | Alexandria Classroom | 10 days | $9,900 | Register |
| 4–8 Sep 2028 | Online (live) Online (live) | 5 days | $3,000 | Register |
| 18–22 Feb 2029 | Amman Classroom | 5 days | $5,500 | Register |
| 5–16 Mar 2029 | Singapore Classroom | 10 days | $9,900 | Register |
| 12–16 Mar 2029 | Edinburgh Classroom | 5 days | $5,500 | Register |
| 23 Jul – 3 Aug 2029 | Manchester Classroom | 10 days | $9,900 | Register |
| 19–23 Nov 2029 | Online (live) Online (live) | 5 days | $3,000 | Register |
| 14–18 Jan 2030 | Sharjah Classroom | 5 days | $5,500 | Register |
| 11–22 Feb 2030 | Rome Classroom | 10 days | $9,900 | Register |
| 6–10 May 2030 | Lisbon Classroom | 5 days | $5,500 | Register |
| 13–24 May 2030 | Berlin Classroom | 10 days | $9,900 | Register |
| 11–15 Nov 2030 | Online (live) Online (live) | 5 days | $3,000 | Register |
Related courses
- QGT-ITD-124Machine Learning with Python: Advanced LevelAdvanced
- QGT-ITD-140Big Data & Data Science: Advanced LevelAdvanced
- QGT-ITD-145Machine Learning with Python: Practical WorkshopPractical workshop
- QGT-ITD-166Machine Learning with Python MasterclassMasterclass
- QGT-ITD-177Python Programming for Engineers MasterclassMasterclass