Advanced Artificial Intelligence Instructor

We are seeking a highly experienced Advanced Artificial Intelligence instructor and curriculum consultant to design, customize, and deliver a private, instructor-led AI training program for a group of six participants. The program is expected to begin in October 2026 and may be delivered onsite in San Francisco, San Diego, or Los Angeles, California. The final location and schedule will be determined with the selected instructor and client. Program Overview This engagement is intended for experienced AI practitioners who can connect advanced technical concepts with practical enterprise implementation. The selected instructor will work with the client and NobleProg to determine the appropriate program duration, sequence the curriculum, customize the content, prepare hands-on labs, and deliver the training. The program should provide participants with practical knowledge of modern AI engineering, enterprise AI architecture, AI governance, large language models, production AI systems, and the infrastructure required to deploy and manage advanced AI solutions. Requested Curriculum Areas The proposed program should address the following subjects: AI governance, Responsible AI, and AI risk management Large language models and foundation models LLM training, fine-tuning, and distributed training LLMOps and production AI MLOps and AI platform engineering On-premises AI, private AI, and data sovereignty Agentic AI and multi-agent systems Retrieval-Augmented Generation Knowledge graphs and enterprise knowledge integration AI infrastructure and GPU clusters Distributed computing for AI workloads High-performance model inference AI security and model security Regulatory compliance and enterprise AI controls Enterprise AI architecture and deployment strategy The final curriculum may be adjusted based on participant backgrounds, available infrastructure, program duration, and the client’s technical priorities. Training Requirements The training should preferably be delivered as a private, instructor-led program and include: Practical exercises and demonstrations Instructor-guided hands-on labs Realistic enterprise AI use cases Participant training materials Lab instructions and supporting resources Recommendations for continued learning Certificates of completion Opportunities for participant questions and technical discussion Instructor Responsibilities The selected instructor will be responsible for: Participating in a client alignment and discovery meeting Assessing the participants’ technical backgrounds and learning objectives Recommending an appropriate course duration and training schedule Developing a proposed course outline Customizing the curriculum for the client Identifying participant prerequisites Defining all hardware, software, cloud, and GPU requirements Preparing practical exercises and hands-on labs Delivering the training virtually or onsite Providing training materials and supporting resources Recommending certificate or continuing education options Coordinating with NobleProg throughout the engagement Program Details Anticipated start: October 2026 Number of participants: Six Potential onsite locations: San Francisco, California San Diego, California Los Angeles, California Delivery options: Private onsite instructor-led training Private virtual instructor-led training A blended or hybrid schedule, when appropriate Applicants should indicate which locations and delivery formats they can support. Ideal Instructor Qualifications The ideal instructor will have substantial professional experience in several of the following areas: Enterprise artificial intelligence Machine learning engineering Large language model development and deployment Foundation model training or fine-tuning Distributed model training LLMOps and MLOps AI platform engineering Agentic AI and multi-agent architecture Retrieval-Augmented Generation Knowledge graphs GPU infrastructure and AI clusters High-performance model serving and inference Private or on-premises AI deployments Data sovereignty and regulated data environments AI governance and Responsible AI AI security, compliance, and risk management Enterprise AI architecture Previous experience delivering advanced instructor-led training to corporate, government, engineering, or technical audiences is strongly preferred. Relevant certifications, publications, conference presentations, open-source contributions, enterprise projects, or academic credentials should be included in the application. Proposal Requirements Please provide the following information with your application: A summary of your relevant AI experience Your instructor-led training experience Your experience with enterprise or government clients Your recommended course duration Your proposed training schedule A preliminary course outline Recommended technical prerequisites for participants Required participant software and development environments Required cloud platforms, GPU resources, or local infrastructure Your ability to support virtual delivery The onsite locations you can support Your availability during October 2026 Relevant certifications and professional credentials Examples of similar training programs you have delivered Certificate or continuing education options you can support Any applicable corporate, government, or group-training considerations Confirmation that you accept the stated daily rate Please clearly identify which curriculum topics you can teach directly and whether any portions of the program would require an additional specialist. Compensation Training rate: $1,200 per day of training delivery The final project compensation will be determined by the approved number of training days. The agreed compensation is expected to cover: One client alignment and discovery meeting Curriculum planning Training material preparation Reasonable curriculum customization Hands-on lab preparation Instructor-led training delivery Reasonable local travel expenses, including gas, Uber, and parking, will be reimbursed when necessary and approved in advance. Any airfare, lodging, extended-distance transportation, specialized cloud environments, GPU resources, software licenses, or other significant expenses must be disclosed and approved before the engagement begins. Payment Terms Payment milestones and invoicing terms will be finalized before the engagement begins. Applicants should disclose any required deposits, cancellation terms, or other payment conditions in their proposals. Important Links Additional program and curriculum details: https://docs.google.com/document/d/1EZ4KRYCaZZYtg3JX4eSu82H3pmjCRxEguHCbbTD7yJ0/edit?usp=sharing NobleProg instructor process and SOP: https://share.synthesia.io/a0788c6e-56d5-4da8-92c6-0d5c03ad6d52 Please review both links before submitting your application. How to Apply Begin your application with the phrase “Advanced Enterprise AI Instructor” to confirm that you have reviewed the complete posting. Please submit a focused proposal that explains how you would structure this program for six participants, including the number of days you recommend, the balance between lectures and labs, and the infrastructure required to complete the hands-on exercises successfully.