ChatGPT Training Course: Beginners to Advanced

The ChatGPT Training Course: Beginners to Advanced equips learners with comprehensive skills to leverage ChatGPT for productivity, creativity, coding, business applications, and automation. Ideal for students, content creators, developers, marketers, and professionals, this course takes you from the fundamentals of conversational AI to advanced use cases involving prompt engineering, integrations, and automation workflows. By the end of the course, you’ll be able to harness the full potential of ChatGPT confidently.

Instructor led live online Classes

Why Enroll in ChatGPT Training Course?

  • Master Conversational AI: Learn how to interact with and optimize outputs from ChatGPT.

  • Boost Productivity: Automate tasks like content generation, summarization, email drafting, and data handling.

  • Real-World Use Cases: Apply ChatGPT in business, education, development, and marketing.

  • Advanced Prompting Skills: Learn prompt engineering techniques for custom outputs and automation.

  • Future-Proof Skillset: Gain expertise in one of the most in-demand AI tools today.

Course Description

A step-by-step guide to understanding, using, and integrating ChatGPT effectively across various domains.

1. Beginners curious about AI tools and productivity. 2. Professionals looking to streamline their workflow. 3. Writers and marketers seeking creative assistance. 4. Educators and students using AI for learning or instruction. 5. Developers integrating ChatGPT into apps or services.

1. Offers hands-on demos and guided exercises. 2. Builds from basic use cases to advanced customization. 3. Includes support, templates, and downloadable resources.

What you'll learn

  • Introduction to ChatGPT: Use cases, capabilities, and limitations.
  • Basic Usage: Crafting effective prompts and understanding responses.
  • Productivity Applications: Emails, resumes, research, and organization.
  • Content Creation: Blogs, scripts, social posts, and SEO.
  • Coding Assistance: Debugging, generating code, and documentation.
  • Prompt Engineering: Templates, tone control, context retention.
  • Advanced Integrations: Using ChatGPT with tools like Zapier, Notion, or Excel.
  • AI Ethics and Safety: Responsible and secure use of AI.

Requirements

  • No prior technical knowledge required.
  • Internet access and a ChatGPT (free or pro) account.

Curriculum Designed by Experts

  • Introduction to Generative AI
  • Introduction to ChatGPT and OpenAI
  • Unleashing the Power of ChatGPT
  • The Applications of ChatGPT
  • Human-AI Collaboration and the Future
  • Engaging with ChatGPT
  • Wrapping Up and Looking Ahead

  • Getting started with ChatGPT and OpenAI
  • Exploring the creative potential of ChatGPT

  • Introduction to Prompt Engineering
  • Why Prompt Engineering?
  • What is Prompt Engineering?
  • Applications of Prompt Engineering
  • Types of Prompting
  • Priming Prompts
  • Prompt Decomposition
  • How to Get Better Responses from ChatGPT
  • ChatGPT Plugins

  • Demo on creating prompts for effective responses from ChatGPT
  • Install and implement ChatGPT plugins

  • Leveraging ChatGPT for Productivity
  • Mastering Excel through ChatGPT
  • Becoming a Data Scientist using ChatGPT
  • Data Analysis in PowerBI with ChatGPT
  • Creating a Content Marketing Plan
  • Social Media Marketing using ChatGPT
  • Keyword Search and SEO using ChatGPT
  • Generating Content using ChatGPT
  • Implementing ChatGPT for Customer Service
  • Email Marketing using ChatGPT
  • Developing a Project Management Plan using ChatGPT

  • Explore ChatGPT's capabilities in Excel
  • Learn how to use ChatGPT in Data Science and PowerBI
  • Experiment with ChatGPT for social media marketing
  • SEO using ChatGPT
  • Generate content using ChatGPT
  • Implement ChatGPT for customer service
  • Develop a project management plan using ChatGPT

  • ChatGPT for Creating Programs
  • ChatGPT for Debugging
  • ChatGPT for Integrating New Features
  • ChatGPT for Testing
  • Documenting Your Code with ChatGPT
  • Essential Application Programming Interface (API) Concepts
  • Introducing OpenAI and ChatGPT API

  • Use ChatGPT to assist in creating programs
  • Leveraging ChatGPT for debugging, and integrating new features
  • Experiment with ChatGPT for testing purposes and generating test cases
  • Practice documenting code and API concepts with ChatGPT

  • Overview of language models
  • Understanding the architecture of the GPT model
  • GPT models: advantages and disadvantages
  • Overview of the pre-trained GPT models available for fine-tuning
  • Training of ChatGPT
  • Data preparation
  • Model architecture
  • Hyperparameter tuning
  • Training process

  • Understand the architecture and components of the GPT model
  • Exploring pre-trained GPT models for fine-tuning
  • Data preparation techniques for training ChatGPT
  • Implementing hyperparameter tuning to optimize model performance

  • Creating a Chatbot using Chatterbot
  • Building an Interactive Chatbot using Rasa
  • Developing your own Chatbot using ChatGPT API

  • Create a chatbot using Chatterbot library
  • Build an interactive chatbot using Rasa
  • Build a chatbot using ChatGPT API

  • Integrate ChatGPT with Power Automate
  • Integrate ChatGPT with Power Apps
  • Integrate ChatGPT with Excel
  • Create a serverless Rest API with ChatGPT

  • Demo on integration of ChatGPT API with Microsoft Applications
  • Demo creating a serverless Rest API with ChatGPT

  • Introduction to GPT-3
  • Democratizing NLP
  • Understanding prompts, completions, and tokens
  • Introducing the Playground
  • Understanding general GPT-3 use cases
  • Understanding GPT-3 risks

  • GPT-3 use cases
  • Explore the Playground for GPT-3

  • Setting up the GPT-3 API and integrating it into projects
  • Building conversational AI for finance and e-commerce domain
  • Strengths and limitations of GPT-3 in building conversational AI
  • Scaling and deploying GPT-3 models to production

  • Build conversational AI application
  • Scale and deploy GPT-3 models

  • Ethical considerations
  • Limitations of ChatGPT
  • Best practices for using ChatGPT
  • Future developments in the field of ChatGPT
  • Opportunities for further learning and research

  • Building web development architecture
  • Building backend server
  • Setting up the database
  • Setting up a React-based client-side application
  • Writing user API requests to MongoDB with Express and React
  • Fetching and updating the database with MongoDB API and routing with Express
  • Routing to React-based client-side application
  • Debugging and client-side coding
  • Building a BMI Calculation application
  • Building a website and create landing page content using ChatGPT

  • Dall-E 2
  • Midjourney
  • Bard
  • Hugging Face
  • NLG Cloud
  • Copy.ai
  • Tome
  • Codeium
  • WriteSonic

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