Generative AI IBM watsonx.ai COE テストについて
Generative AI (IBM watsonx.ai COE) の評価は、急速に進化する生成型人工知能の分野で成功するために必要な基本的専門知識を測定します。変革をもたらす技術として、生成型AIはコンテンツ生成、自然言語理解、分析的洞察など、複数の分野で先進的なアプリケーションを可能にします。この試験は、生成型AIの基礎知識と高度なスキルの両方をテストし、採用や人材評価において欠かせないリソースとなっています。
Central to the test is an evaluation of Generative AI Fundamentals, covering the design and processes behind models like GPT and BERT that create new data. Grasping these fundamentals is critical since generative models support tasks from language translation to image creation, reflecting a candidate's ability to innovate using AI.
Natural Language Processing (NLP) skills are assessed, focusing on tokenization, sequence modeling, and attention techniques key to interpreting human language. Proficiency in NLP enables development of tools such as chatbots, sentiment detection, and entity recognition, important in fields including finance and customer support.
The exam also explores Transformer Models & Attention Mechanisms, emphasizing the role of self-attention and multi-head attention in handling sequential data. Deep understanding here is necessary for working with leading AI architectures that drive scalable and efficient solutions.
Skills in Retrieval Augmented Generation (RAG) and fine-tuning generative AI models are tested, highlighting methods to combine external knowledge sources with tailored model adaptation. These abilities enhance AI output relevance and accuracy, especially in content creation and specialized domains.
Candidates’ capabilities in Generative AI Tooling & Ecosystems, cloud integration, deployment, document loading, and vector databases are evaluated, reflecting their competence in delivering complete AI solutions, managing extensive datasets, and ensuring smooth cloud-based implementations.
Finally, the test covers Prompt Engineering, Synthetic Data use, and Ethical AI & Governance. These areas underscore the importance of designing effective model inputs and upholding responsible AI use, critical for compliance and trust in regulated industries like healthcare and finance.
In summary, the Generative AI (IBM watsonx.ai COE) exam offers a thorough assessment of the expertise required to fully leverage generative AI technology. It is an indispensable tool for organizations aiming to find top talent that can foster innovation and adhere to ethical AI standards across diverse industry applications.
対象:
- Data Scientist
- Machine Learning Engineer
- Product Manager
- Solutions Architect
- Research Scientist