Course
AI for Engineers
A practical AI course for engineers in the UK—covering ML foundations, applied AI workflows, and a production-minded capstone.
IT Training in the UK
10-week structure
Hands-on labs
Program structure (10 weeks)
This course is strictly delivered as a 10-week program (within the 8–12 week standard), with weekly learning outcomes and practical labs.
- Week 1: AI for engineers overview, key terms, responsible AI basics, tooling setup.
- Week 2: Data fundamentals for AI (datasets, labeling, leakage), simple analysis lab.
- Week 3: ML basics (supervised/unsupervised), train/test split, evaluation, lab.
- Week 4: Feature engineering + model selection, baseline models, lab.
- Week 5: NLP & prompting fundamentals, practical prompt patterns, lab.
- Week 6: Working with APIs/LLMs (high level), guardrails, safety, lab.
- Week 7: Building AI workflows (retrieval basics, vector concepts), small RAG-style demo lab.
- Week 8: MLOps basics: versioning, experiments, monitoring drift, lab.
- Week 9: Deploying AI features (latency/cost), privacy considerations, integration lab.
- Week 10: Capstone: ship an AI-powered feature (demo app) + documentation + responsible AI checklist.
Pricing & schedules
Mobile-friendly table (scroll horizontally on small screens).
| Option | Delivery | Duration | Includes | CTA |
|---|---|---|---|---|
| Standard Cohort | Live Online | 10 weeks | Weekly live sessions, labs, recordings, support | Enroll Now |
| Flexible (Self-Paced + Support) | Online | 10 weeks | Recordings + weekly office hours | Enroll Now |
| Team / Corporate | Online / Hybrid | 8–12 weeks | Tailored syllabus + outcomes report | Request a plan |
Project experience
You’ll ship a capstone project you can show in interviews and on LinkedIn.
Enroll NowRecruitment assistance
Mock interviews, CV/LinkedIn guidance, and role-based learning paths.
Book a consultation