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| Course Fee | 1,700 |
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Total Fees |
1,700 (USD) |
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
Koenig Learning Stack
Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.
Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.
Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.
Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.
Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.
Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
Minimum Required Prerequisites for Generative AI using Cohere Models Course
To successfully undertake the Generative AI using Cohere Models course, students should ideally have the following foundational knowledge:
Basic Programming Skills: Familiarity with programming, preferably in Python, to interact with APIs and implement model functionalities.
Introductory Knowledge of Machine Learning: Understanding basic machine learning concepts, including what models and datasets are.
Understanding of Artificial Intelligence: A general grasp of artificial intelligence principles, especially related to natural language processing (NLP) and large language models.
API Integration: Basic knowledge of how to use and integrate APIs, which will be crucial for consuming the Cohere model via an API.
By possessing these minimum prerequisites, students will be better equipped to grasp the course content and effectively utilize Cohere models in various applications.
Generative AI using Cohere Models is a 5-day intensive course designed for professionals seeking to master text generation, retrieval, augmentation, and fine-tuning with Cohere's advanced AI models.
Target Audience:
The "Generative AI using Cohere Models" course equips learners with the skills and knowledge to effectively utilize Cohere's large language models for various applications such as text generation, fine-tuning, and prompt engineering. Over five days, participants will gain hands-on experience through practical labs and comprehensive modules.
Understand the Cohere Platform:
Model Types in Cohere:
Text Generation Techniques:
Retrieval Augmented Generation (RAG):
Prompt Engineering:
Text Summarization:
5.0
