LLMs with Google Cloud and Python
Develop advanced AI techniques, including prompt engineering and chatbot development, as well as master large language models and their implementation on Google Cloud.
Description for LLMs with Google Cloud and Python
Features of Course
Comprehending Large Language Models: Acquire a thorough understanding of the core components and mechanisms of LLMs to improve your AI proficiency.
Vertex AI on Google Cloud: This tutorial will instruct you on the configuration and utilization of LLMs on Google Cloud, with an emphasis on the Vertex AI Python API, model options, and pricing.
Prompt Engineering and Text-Embedding: Proficient in the development of advanced prompt engineering techniques, such as the design of prompts for summarization, classification, and text-embedding, to enhance the performance of LLM.
AI Application Development: Develop practical skills in the construction of a customer service chatbot with generative AI and the fine-tuning of models using the Google Cloud Console to achieve task-specific results.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 3
Offered by: On Udemy provided by Pierian Training & Jose Portilla
Duration: 4h 52m
Schedule: Full lifetime access
Pricing for LLMs with Google Cloud and Python
Use Cases for LLMs with Google Cloud and Python
FAQs for LLMs with Google Cloud and Python
Reviews for LLMs with Google Cloud and Python
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for LLMs with Google Cloud and Python
Marbleflows is a no-code funnel builder powered by AI for entrepreneurs and businesses, offering distinctive features and accessibility for easy funnel construction and lead conversion optimization.
The AI tool provides a comprehensive solution for managing AI vision intelligence, offering sophisticated computer vision systems, complete automation in horticulture robotics, and user administration features for seamless operation and control.
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Coginiti's AI-Assisted SQL Development boosts SQL development efficiency with instant query assistance and optimization, alongside on-demand learning resources, while facing integration restrictions and an initial learning curve.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
Accubits provides tailored blockchain and AI solutions, offering expert technology consulting and enterprise solutions, recognized for industry leadership and innovation, catering to a diverse clientele but potentially overwhelming for small-scale enterprises.
The platform offers innovative gamified assessments, AI-audited algorithms, and digital interviewing for unbiased candidate evaluation, enhancing hiring efficiency and reducing bias, while providing deep talent insights and aligning talent development with business objectives.
Abacus.ai offers end-to-end MLOps capabilities and advanced AI methodologies, including neural networks, to provide precise models for enterprise data analysis needs, along with comprehensive monitoring and real-time machine learning features.
Nuclia is a cloud-based platform that creates AI-powered search engines, utilizing sophisticated algorithms for efficient data retrieval and offering features like NLP, automated data enrichment, and custom analytics.
Aigur is an AI platform that simplifies data pipeline management and the creation of AI-based applications, offering features such as plan management, backend logic design, UI components, and a user-friendly API, all with a substantial free plan.
Featured Tools
Learn how to apply prompt engineering methods in generative AI to create input-output pairs, address real-world problems, and implement suitable techniques for everyday applications.
The Specialization emphasizes the development of practical applications, such as encryption, geospatial maps, CSV data analysis, and text data management, through the use of object-oriented design and advanced Java programming. This includes the ability to handle large datasets and create GUI programming.
This course provides learners with a comprehensive understanding of AI and AGI, enabling them to participate in and influence the developments that are influencing the future.
Understand the core concepts of data analytics, its primary phases, key data roles, various data structures, file formats, and the comprehensive data analysis process.
Gain a comprehensive understanding of the principles of reinforcement learning. Develop a comprehensive RL solution and comprehend the application of AI tools to address real-world issues.