1MillionBot Group offers various courses, tools and training activities around the dissemination of AI and its applications, as well as conversational intelligent assistants. These activities are organized directly or jointly with other educational centers and universities. In addition, meetings and work sessions are promoted with companies and entities aimed at promoting innovation and digital transformation through AI.

We offer:

  1. online tutorials: step-by-step guides and videos to help users set up and use the products, such as the millie platform and others.
  2. Technical documentation: Detailed manuals that explain the features, capabilities, and technical requirements of the products.
  3. Customer Support- A dedicated support team that can help with technical questions and issues. 1MillionBot has its maintenance program with technical support.
  4. Webinars and workshops: online or in-person sessions where company experts teach users how to maximize the use of our products. See 1MillionBot Language Consulting.
  5. Learning Center in Torre Juana OST: inside programs like Accelerate Startups.

For specific information about what 1MillionBot can offer in terms of training or educational resources, we recommend contact 1MillionBot and request information about courses and educational resources available at that time.

Example of courses

Course on "AI and virtual assistants"

  1. 1 Module: Introduction to conversational assistants and AI. What are chatbots, classes of chatbots, how do they work and what role does AI play in their operation?
  2. 2 Module: Implementation of chatbots in businesses. Training on how to integrate chatbots in different areas of business, such as customer service, sales and marketing; human resources and internal communication; document management; automation of actions...
  3. 3 Module: Personalization and adaptation of chatbots. How to customize chatbots to meet the specific needs of the company and its brand. Introduction to millie platform.
  4. 4 Module: Security and privacy in chatbots. Best practices for security and legal compliance when using chatbots, especially in the management of personal data.
  5. 5 Module: Data analysis and continuous improvement. How to analyze the data collected by chatbots to obtain insights and continually improve its effectiveness and efficiency.
  6. 6 Module: Integration with business systems. Training on how to integrate chatbots with other business systems, such as CRM, ERP and others.
  7. 7 Module: Change management and technology adoption. How to lead change within the organization to ensure successful adoption of chatbot technology.
  8. 8 Module: AI and ethics. Ethical challenges associated with AI and how to address them responsibly.
  9. 9 Module: Development of technical skills. For technical teams, courses in programming, data analysis, and other technical skills related to chatbot development and maintenance.
  10. 10 Module: Customer experience and conversation design. Training on how to design effective conversations and improve the customer experience using chatbots.
  11. 11 Module: practical workshop. Design of a chatbot or professional tools based on generative AI.

These courses can be offered in modules in different formats, such as webinars, face-to-face workshops or online learning modules, and can be adapted to different skill levels, from beginners to experts.

Minicourse: Introduction to GPT-4 (Exploring the frontier of AI language generation)

Module 1: Fundamentals of Natural Language Generation (NLP)

  • NLP Definition and Language Generation
  • Applications and uses of NLP in real life
  • Evolution of language models up to GPT-4

Module 2: Understanding GPT-4 and models transform

  • Architecture transform and its operation
  • What is GPT-4 and how does it differ from previous versions?
  • Capabilities and unique features of GPT-4

Module 3: Using GPT-4 in practice

  • Access to GPT-4 through the OpenAI API
  • Practical examples of how to use GPT-4 for specific tasks: Millie Platform, Makeabot and E-tutor
  • Limitations, biases and ethical considerations of GPT-4

Module 4: Case study: chatbots with GPT-4

  • Building an advanced chatbot using GPT-4: Millie Platform
  • Conversation design and personalization best practices
  • Evaluation of the quality, efficacy and safety of the chatbot

Module 5: Case study: chatbots with GPT-4

  • Engineering prompts
  • Platform for integration of ChatGPT with other chatbots through Millie
  • Design inputs documentaries for ChatGPT
  • Analysis of practical use cases: hallucinations vs precision
  • Other LLM models

Module 6: Future and trends in language models (LLM)

  • Future developments and emerging trends in the field of language models
  • Social, economic and ethical impact of automatic language generation
  • Reflection on how GPT-4 and related technologies can influence different industries

This mini-course would be suitable for those who want to understand and apply GPT-4 technology in various fields, from communication and customer service to analytics and data-driven decision-making. Participants could gain a comprehensive view of what GPT-4 can achieve and how it can be implemented effectively and ethically.