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Earning this certification validates the ability to implement load balancing solutions on Google Cloud Platform, including configuring network and HTTP load balancers, deploying virtual machines in Compute Engine, and running containerized applications on Kubernetes Engine.
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Earning this certification validates the ability to effectively engage with clients, identify opportunities, and drive revenue growth through the development of key sales skills.
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Earning this certification validates the ability to construct Generative AI applications using LangChain and the Retrieval Augmented Generation (RAG) technique for text-based content, leveraging the powerful Generative AI capabilities offered by Google Cloud’s Vertex AI platform.
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Earning this certification validates the ability to discuss the value proposition of IBM watsonx.ai with clients, demonstrating an understanding of its generative AI and foundation model capabilities as well as its key features through hands-on experience.
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Earning this certification validates the ability to build generative AI applications using Gemini and Streamlit, demonstrating expertise in text generation, leveraging function calls via the Python SDK and Gemini API, and deploying Streamlit applications to Cloud Run using Docker containers.
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Earning this badge validates the practical experience with Retrieval Augmented Generation (RAG) solutions, showcasing understanding of this innovative approach that combines pre-trained language models with external knowledge retrieval to generate highly informative and contextually relevant text.
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Earning this certification validates the expertise in deploying applications on GKE, showcasing mastery of Docker, GKE cluster management, kubectl, and continuous delivery practices for Kubernetes.
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Earning this certification validates the expertise in big data technologies, demonstrating the ability to harness the power of Hadoop and Spark for efficient data processing and analysis.
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Earning this certification validates foundational Python programming skills, preparing earners for data science and various programming roles.
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Earning this certification validates the expertise in crafting effective prompts, leveraging AI models and the Python Langchain library for practical applications.
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Earning this certification validates skills in harnessing the power of AI through effective prompt engineering, demonstrating the ability to communicate complex ideas to AI systems and control the style, tone, and content of AI responses.
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Earning this certification validates the proficiency in utilizing ChatGPT for text summarization, showcasing understanding of NLP fundamentals and capacity to develop practical solutions for various industries.
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Earning this certification validates foundational knowledge of preparing and processing data for Google Cloud’s ML APIs, showcasing skills in data cleaning with Dataprep by Trifacta, creating and running data pipelines in Dataflow, managing clusters and executing Apache Spark jobs in Dataproc, and effectively calling upon ML APIs such as Cloud Natural Language, Cloud Speech-to-Text, and Video Intelligence.
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Earning this certification validates the ability to perform essential mainframe tasks, including data set management, command execution, JCL management, scripting, Python development, and automation through IBM Z Open Automation Utilities.
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Earning this certification validates skills in prompt engineering, image analysis, and multimodal generation using Vertex AI and Gemini models for real-world applications.
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Earning this certification validates the skills to utilize watsonX.ai for efficient and trustworthy business applications, including model training and building trust with stakeholders.
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Earning this certification validates a comprehensive grasp of IBM’s ethical AI approach and the capabilities of WatsonX.ai for rapid and trustworthy AI application development.
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Earning this certification validates expertise in deploying AI with IBM watsonx, emphasizing responsible workflows and ethical considerations.
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Earning this certification validates foundational expertise in skillfully directing large language models (LLMs) to achieve desired outcomes.
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Earning this certification validates the knowledge of artificial intelligence (AI) concepts, such as natural language processing, computer vision, machine learning, deep learning, chatbots, and neural networks; AI ethics; and the applications of AI.
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Earning this certification validates the skills and knowledge to apply Azure’s machine learning techniques to train, evaluate, and deploy models that solve business problems.
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Earning this certification validates the skills and knowledge to build applications with graph data modeling and Cypher queries.
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Earning this certification validates the skills and knowledge to leverage automated solutions like Smart Bidding and Audience Solutions to boost campaign performance for specific marketing objectives.
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Earning this certification validates the skills and knowledge to read, process, and visualize data with popular Python libraries.