Our modular courses guide you from foundational concepts in agent reasoning to advanced techniques in orchestration and deployment, ensuring practical expertise at every stage.
Explore agent architectures optimized for data collection, hypothesis generation and experimental workflows. Gain hands-on experience setting up pipelines that adapt to evolving research goals.
Learn to design agents capable of dynamic task sequencing, resource allocation and strategic decision-making to streamline complex operational processes across domains.
Build conversational and task-oriented agents that deliver reliable user assistance, automate routine inquiries and integrate seamlessly into customer-facing environments.
Enroll now to benefit from curated tutorials, practical labs and expert review sessions that accelerate your proficiency in agent design and deployment.
Our instructors are seasoned professionals and researchers who bring real-world experience in AI agent development, ensuring you learn practical methods and industry best practices.
With over a decade of work in adaptive agent frameworks, Dr. Muller has published multiple papers on autonomous reasoning and data-driven model refinement.
Sofia specializes in end-to-end agent integration, focusing on scalable architectures and resilient workflows for diverse application environments.
Lukas has led deployment projects for enterprise AI solutions, optimizing agent performance and ensuring seamless interactions in production.
Each course module blends theoretical foundations with guided practice, supported by a community forum and direct mentorship to reinforce your learning journey.
Cover all essential topics from agent theory and algorithms to real-world implementation and maintenance practices.
Explore FeaturesParticipate in live sessions where you’ll build, test and refine agents using industry-standard tools and frameworks.
Explore FeaturesReceive dedicated guidance from our instructors, with feedback loops that help you troubleshoot and optimize your agent builds.
Explore FeaturesConnect with fellow learners to share insights, collaborate on projects and expand your professional network in the AI space.
Explore FeaturesExplore module-based frameworks for designing AI-driven research agents that can autonomously gather data, analyze trends, and generate detailed reports to support academic and industry projects.
Explore FeaturesLearn to build AI agents that streamline service tasks, handle user interactions, and integrate with existing systems to enhance operational efficiency and user satisfaction.
Explore FeaturesAt agentcrafts, our courses are architected to guide learners through every phase of AI agent development. Starting from fundamental principles in algorithm design and environment setup, participants will advance into specialized modules dedicated to research methodologies, strategic planning, and service automation. Hands-on exercises include crafting custom agents that gather and synthesize information, simulate planning scenarios, and manage real-world service tasks. Comprehensive lectures are paired with project-based labs, ensuring theoretical concepts translate into practical skills. By the end of this section, learners will have built working prototypes capable of addressing complex challenges in research analytics, roadmap creation, and automated support workflows, preparing them for real-world integration and continuous optimization.
Delve into core research strategies, data acquisition techniques, and analytical toolkits that empower agents to perform autonomous literature reviews, data synthesis, and hypothesis generation.
Master the creation of planning agents that can outline project roadmaps, set milestones, and simulate potential outcomes to inform decision-making processes.
Develop service-focused agents capable of managing user inquiries, executing routine tasks, and integrating with APIs to deliver seamless support experiences.
Building on the initial modules, learners will engage with interactive assignments and real-world case studies that challenge them to adapt AI agents to diverse scenarios. Through iterative development, feedback sessions, and peer reviews, participants refine agent behaviors, improve response accuracy, and optimize workflow performance. Each assignment is accompanied by detailed walkthroughs from industry experts at agentcrafts, illustrating best practices in prompt design, error handling, and system integration. By collaborating within our community, students swap insights, share custom agent templates, and troubleshoot complex issues. The outcome is a robust skill set for designing, testing, and deploying AI agents tailored to research, planning, and service needs across various domains.
Discover ModulesJoin us at Bahnhofstrasse 1, 8001 Zurich, Switzerland or online to deploy your first AI agent with guided support from the agentcrafts team. Access starter templates, documentation, and step-by-step tutorials that walk you through environment configuration, API integration, and performance tuning. Our modular approach lets you adapt the process to any research or service objective, ensuring you build reliable agents ready for real-world tasks.
Register for a plan and unlock full access to our deployment labs, maintenance guides, and community forums led by experienced instructors.
Install required libraries, set up credentials, and initialize your development environment to begin agent development.
Explore WorkflowsOutline tasks, configure triggers, and assemble decision-making rules that guide your agent’s behavior.
Explore WorkflowsRun simulations, evaluate performance metrics, and deploy your agent live with monitoring and logging enabled.
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