Generative AI using Cohere Models Course Overview

Generative AI using Cohere Models Course Overview

Unlock the future of Generative AI with Koenig Solutions' Generative AI using Cohere Models course. In just 5 days, you'll receive comprehensive training on the Cohere Platform, learning to harness Large Language Models through modules on Text Generation, Prompt Engineering, and Summarizing Text. Engage in hands-on labs using Koenig DC and utilize Cohere’s API for practical exposure. By the end of this course, you'll gain expertise in Fine-Tuning and Integration of Cohere Models, ensuring effective and responsible use. Ideal for developers eager to master AI-driven text solutions, this course combines theoretical knowledge with practical application for real-world success.

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  • Live Training (Duration : 40 Hours)
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  • Live Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

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.


Target Audience for Generative AI using Cohere Models

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:


  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Software Developers
  • NLP Specialists
  • AI Product Managers
  • Data Analysts
  • Technical Leads
  • IT Consultants
  • Computer Science Students
  • R&D Professionals
  • Technology Enthusiasts


Learning Objectives - What you will Learn in this Generative AI using Cohere Models?

Generative AI using Cohere Models Course Overview

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.

Learning Objectives and Outcomes

  • Understand the Cohere Platform:

    • Introduction to the Cohere Platform and its Large Language Models
    • Exploring the Developer Playground and Cohere Toolkit
  • Model Types in Cohere:

    • Overview of different model types like Embed and Rerank
  • Text Generation Techniques:

    • Utilizing the Chat API for text generation
    • Applying advanced generation parameters for predictable outputs
    • Implementing streaming responses and structured generations (JSON)
  • Retrieval Augmented Generation (RAG):

    • Understanding RAG Connectors and their deployment
    • Managing and authenticating connectors
  • Prompt Engineering:

    • Crafting effective prompts and advanced prompt engineering techniques
    • Utilizing the Prompt Tuner (beta) for optimized outputs
  • Text Summarization:

    • Applying text embeddings for search and retrieval tasks

Target Audience for Generative AI using Cohere Models

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:


  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Software Developers
  • NLP Specialists
  • AI Product Managers
  • Data Analysts
  • Technical Leads
  • IT Consultants
  • Computer Science Students
  • R&D Professionals
  • Technology Enthusiasts


Learning Objectives - What you will Learn in this Generative AI using Cohere Models?

Generative AI using Cohere Models Course Overview

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.

Learning Objectives and Outcomes

  • Understand the Cohere Platform:

    • Introduction to the Cohere Platform and its Large Language Models
    • Exploring the Developer Playground and Cohere Toolkit
  • Model Types in Cohere:

    • Overview of different model types like Embed and Rerank
  • Text Generation Techniques:

    • Utilizing the Chat API for text generation
    • Applying advanced generation parameters for predictable outputs
    • Implementing streaming responses and structured generations (JSON)
  • Retrieval Augmented Generation (RAG):

    • Understanding RAG Connectors and their deployment
    • Managing and authenticating connectors
  • Prompt Engineering:

    • Crafting effective prompts and advanced prompt engineering techniques
    • Utilizing the Prompt Tuner (beta) for optimized outputs
  • Text Summarization:

    • Applying text embeddings for search and retrieval tasks