Introduction to
Generative AI Tools
This training course is designed for a diverse audience who are eager to learn about and effectively use generative AI tools
such as ChatGPT, Microsoft Copilot, Anthropic Claude, Google Gemini, and others. The course provides detailed insights into the capabilities and features of each tool, empowering participants to leverage this technology in their respective fields.
Instructor:
Target audience
Developers, content creators, customer service professionals, and anyone keen to explore and leverage the capabilities of generative AI in various applications.
Skills you'll gain
- Understanding different subscription plans of ChatGPT.
- Practical knowledge of using free and paid versions of ChatGPT
- Skills in utilizing advanced features like browsing mode, data analysis, and AI-generated imagery.
- Insights into other generative AI tools like Microsoft Copilot, Anthropic Claude, Google Gemini, and others.
Course Modules
Module 1. Core Capabilities
This module covers the key capabilities of modern generative AI tools. It explores multimodal interactions that combine text, images, audio, and video; model reasoning capabilities; working with files and documents; real-time interaction scenarios such as voice; memory and personalization mechanisms; project-based workflows; and integration with external services and data sources.
Module 2. Task-Oriented Modes
This module focuses on practical use of task-oriented modes in generative AI tools and selecting the most appropriate mode based on the task. It covers code execution and data analysis (code interpreter, advanced data analysis), Search, Deep Research, Study and Lean, Canvas, Agent and other modes that encourage independent thinking, collaborative canvas-based workspaces, agent-based modes for multi-step tasks and automation, and specialized modes for comparison and shopping research.
Module 3. Overview of ChatGPT, Claude, Microsoft Copilot, Grok, Gemini, NotebookLM, and Perplexity
This module provides an overview of popular general-purpose AI assistants and their practical use. It examines the capabilities, limitations, and differences between tools such as ChatGPT, Gemini, Claude, Grok, Microsoft Copilot, Perplexity, and NotebookLM. Participants analyze common usage scenarios, approaches to working with context and knowledge sources, and multimodal interactions.
Module 4. Using and Building Personal AI Assistants
This module is dedicated to the practical use and creation of personal assistants based on large language models. It covers approaches to tailoring assistants for specific tasks, working with instructions and knowledge bases, and real-world examples including Custom GPTs in ChatGPT, Gems in Gemini, and personal workspaces in NotebookLM.
Module 5. Multimodal Content Generation
This module covers the generation of images, video, and audio using modern artificial intelligence tools. Topics include image and video creation with tools such as ChatGPT, Midjourney, Google Veo, and OpenAI Sora; music and audio generation with Suno and Udio; creating audio podcasts with NotebookLM; and speech synthesis using ElevenLabs.
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