Overview
Elevate your backend team's AI capabilities with our intensive AI Agent Development Workshop. Led by Dan Austin, CTO of AiTuning, this hands-on program is designed to equip mid to senior-level backend developers with the skills to build production-ready AI agents.
Unlike theoretical courses, our workshop provides real-world experience in constructing AI agents, backed by personalised tutoring from Dan who has successfully deployed multiple AI agents for clients.
Participants will dive deep into the fundamentals of AI agent architecture, learning through practical, hands-on exercises that mirror real-world scenarios.
By the end of the workshop, your developers will have the knowledge and confidence to tackle AI agent projects. With flexible delivery options - in person, or remote - and two weeks of post-workshop support, we ensure that the learning continues long after the session ends.
Throughout the day, each participant will construct a fully functional, custom AI agent while learning key concepts. Each module combines theory with immediate practical application:
Architecting your AI agent
Learn the pros and cons of various AI Agent architectures and LLM options. Apply this knowledge to select the optimal foundation for the AI Agent project, considering factors like performance, cost, and scalability.
Here we show how to make informed decisions early on, setting your AI Agent projects up for success and avoiding costly pivots down the line.
Connecting your agent to the world
Explore strategies for safe and effective integration of external tools and APIs. Implement these connections in your agent, enabling it to interact with databases, web services, and other resources.
This dramatically expand your AI Agent's capabilities, transforming it from a simple chatbot into a powerful tool that can drive real-world actions and provide tangible value to users.
Imbue AI Agents with transparent & reliable reasoning capabilities
Master advanced techniques for logic implementation in AI, including chain-of-thought and various other methods. Apply these to create a robust decision-making framework for your agent.
This enhances your AI Agent's problem-solving capabilities, enabling it to handle complex tasks with transparency and accuracy that clients and stakeholders can trust.
Refining AI Agents
Dive into the nuances of model fine-tuning, learning when and how to adapt pre-trained models. Apply these techniques to specialize your agent for your chosen domain or task.
Significantly improve your AI's performance on specific tasks, delivering more accurate and relevant results that can set your services apart in the market.
Fortifying against potential exploits
Understand common AI exploitation techniques and cutting-edge prevention strategies. Apply this knowledge to implement robust security measures in your agent.
Protect your AI investments and maintain user trust by creating systems that are resilient against misuse, crucial for maintaining integrity in client-facing applications.
Preparing for deployment
Master critical aspects of AI system deployment, including monitoring, versioning, and scalable architecture. Implement these production-ready features in your agent project.
Ensure your AI solutions are robust, maintainable, and scalable, meeting the high standards required for enterprise-level deployments and mission-critical applications.
🗒️ Format
A full day of immersive, project-based learning. Alternating between concise lectures and extended coding sessions.
đź‘Ą Group Size
Small teams, big impact. Workshops are limited to 10 participants, ensuring personalised attention from our instructor.
✔️ Prerequisites
Designed for mid to senior-level backend developers. Prior experience with AI is beneficial but not mandatory.
đź“Ť Location
Choose between in-person sessions at your office, a nearby hub, or fully remote workshops.
đź•— Duration
Complete your AI agent project in one intensive day (or two half-days). The full day workshop runs from 9 AM to 6 PM, with breaks for reflection and refreshment.
đź‘Ť Post-Workshop Support
Benefit from two weeks of post-workshop support, including code reviews, troubleshooting assistance, and guidance on applying your new skills to real-world projects.
Dan Austin, founder and CTO of AiTuning, is a passionate innovator in AI agent development. His track record speaks volumes, with multiple AI agents successfully deployed into production. Dan's innovative approach has proven transformative for businesses, notably helping a startup secure a position in a prestigious incubator through his custom AI solution.
Prior to founding AiTuning, Dan contributed his expertise at Contentsquare - a tech unicorn based in Paris - for a critical consumer facing product, and before this managed a development team for a large-scale banking project at Publicis Sapient. Before this, Dan worked in a fast-paced startup, leading the development of multiple products. This blend of experience in both established corporations and agile startups informs his unique perspective on AI development.
At AiTuning, Dan is driven by a vision to position the company as a thought leader in AI agent innovation. His goal is to create AI agents that excel in efficiency and trustworthiness and contribute positively to humanity, setting new standards in the field of artificial intelligence.
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"We're so happy with Dan's work that we've asked him to stay on as an advisor for the next 12 months because we find his input to be critical to our ongoing success."
CEO • Flow Legal
"We have been impressed by their professionalism and warmth and would recommend them whole-heartedly."
CTO • SphinxAI
"Fast and high quality delivery. Looking forward to hire them to many more projects."
CTO • PlannerD
"They understand the importance of meeting clients’ requirements and deliver excellent services. I would highly recommend."
Founder • Techtracts
