Experienced AI/ML Live Trainer
Budget: $15 – $25 USD
I need an expert-level AI/ML trainer to run live, interactive online sessions for my company’s technical staff. Your mission is to design and teach a practical curriculum that moves our engineers and data analysts from theory to hands-on competence. While the primary delivery mode is real-time virtual classes, I’m open to recording the sessions for internal replay if that fits your workflow.
What I expect from you
• Proof of deep, working expertise in machine learning—research papers, production deployments, industry talks, or prior corporate trainings all help demonstrate it.
• A structured training roadmap pitched at an “Expert teaching practitioners” level, with clear learning objectives, slides or notebooks, and real-world datasets for exercises.
• Engaging live presentation skills: screen-sharing code walkthroughs, white-board style explanations, and time for Q&A and troubleshooting.
• Session materials handed over after each class (slides, Jupyter notebooks, sample code, and reading lists).
• A short diagnostic with me before we start so the syllabus aligns with our current projects. Potential topics range from supervised and unsupervised methods to reinforcement learning, but we’ll fine-tune the focus together.
Key deliverables
1. Agreed course outline and schedule.
2. All teaching assets (slides, notebooks, datasets).
3. Live virtual classes delivered on the agreed dates.
4. Post-session support: concise summaries plus answers to outstanding questions.
If you’re an experienced practitioner who enjoys sharing knowledge in a live online format and can tailor content to a corporate setting, let’s talk details and get the first session on the calendar.
What I expect from you
• Proof of deep, working expertise in machine learning—research papers, production deployments, industry talks, or prior corporate trainings all help demonstrate it.
• A structured training roadmap pitched at an “Expert teaching practitioners” level, with clear learning objectives, slides or notebooks, and real-world datasets for exercises.
• Engaging live presentation skills: screen-sharing code walkthroughs, white-board style explanations, and time for Q&A and troubleshooting.
• Session materials handed over after each class (slides, Jupyter notebooks, sample code, and reading lists).
• A short diagnostic with me before we start so the syllabus aligns with our current projects. Potential topics range from supervised and unsupervised methods to reinforcement learning, but we’ll fine-tune the focus together.
Key deliverables
1. Agreed course outline and schedule.
2. All teaching assets (slides, notebooks, datasets).
3. Live virtual classes delivered on the agreed dates.
4. Post-session support: concise summaries plus answers to outstanding questions.
If you’re an experienced practitioner who enjoys sharing knowledge in a live online format and can tailor content to a corporate setting, let’s talk details and get the first session on the calendar.