Building AI with Bedrock Agent

Pragmatic AI Labs is a private professional training organization based in California, founded in 2016 and led by practitioners in machine learning and MLOps. Rather than functioning as a university, it focuses on applied, hands-on instruction in AI, data engineering, cloud-native development and production workflows. The curriculum emphasizes industry tools such as cloud platforms, Python and MLOps toolchains to prepare learners for real-world engineering challenges.

Courses at Pragmatic AI Labs are designed for immediate workplace relevance, including short courses, workshops and extended modules that teach model deployment, monitoring, reproducible pipelines and scalable architectures. Instruction is often project-based, enabling participants to build portfolios, contribute to open source or complete capstone projects that showcase production-ready skills. The provider also offers corporate training and tailored programs for teams seeking to adopt modern data and ML practices.

This provider suits professionals and career changers who want practical competencies rather than academic theory, with flexible learning formats and frequent curriculum updates to reflect industry trends. Certificates, mentorship and portfolio projects help graduates demonstrate applied capabilities to employers. Prospective learners should look for course alignment with their target roles, hands-on assessments and access to instructors with current industry experience.

This program is a non-degree course called Building AI with Bedrock Agent, offered by Pragmatic AI Labs in California, USA. It's for students who want to learn about AI and is taught in English. The program lasts for 1 week and is available online.

The curriculum will help students develop skills in building AI models and working with Bedrock Agent. They will learn about specific subjects like AI development and deployment, and get hands-on experience with AI tools.

After completing this program, students can pursue careers like AI Engineer, Data Scientist, Machine Learning Engineer, AI Researcher, or Software Developer. They can work in industries like technology, healthcare, or finance, and for employers like tech startups or research institutions.