Mastering GenAI with DeepSeek

Building AI-Powered Chatbots with GenAI, DeepSeek, and Python

What you'll learn

• Have knowledge on GenAI and DeepSeek
• Can build simple neural network using Python and Google colab
• Can build GenAI programs with DeepSeek on Google Colab
• Can build useful GenAI apps using DeepSeek and other tools

Requirements

No requirements on programming or anything else. You will learn from scratch.

Description

This comprehensive online course is designed to guide you through the process of building customized business chatbot applications using GenAI and DeepSeek. Whether you're a beginner or looking to enhance your AI knowledge, this course offers a structured learning path to master both the theoretical and practical aspects of modern AI technologies.

What You'll Learn:

• Introduction to GenAI and DeepSeek: Understand the fundamentals of General AI (GenAI) and explore models like ChatGPT, Gemini, and LlaMa. Dive into the concept of DeepSeek and its applications in AI-driven systems.
• Google Colab for AI Development: Learn how to leverage Google Colab to run Python code and deploy AI models. You’ll get hands-on experience with uploading files, changing runtime, and using Colab for deep learning projects.
• Python Fundamentals: Master Python programming with lessons on data types, conditions, loops, functions, and modules. These skills are foundational for building and customizing AI applications.
• DeepSeek Integration: Gain in-depth knowledge of how to use DeepSeek models, including running them in Google Colab and understanding their capabilities. You'll learn to run various models, from the smallest (LLM-7B-Chat) to the larger DeepSeek-V2-Lite 15.6B.
• Retrieval Augmented Generation (RAG): Learn how to work with text embeddings, process PDF documents, and create chunks of data for use in AI systems. This will help you build smarter chatbots that retrieve context from documents to provide better answers.
• Business Chatbot Application: The course culminates with the creation of a complete chatbot application. You will build the backend API using DeepSeek and integrate it with a frontend using Gradio, making it a full-stack application suitable for real-world use.

Course Structure:

Part 1: Introduction to the Course

Overview of the course and tips for getting the most out of it.

Part 2: Introduction to GenAI and DeepSeek

Understand the cutting-edge AI models like ChatGPT and DeepSeek, along with how they are transforming the AI landscape.

Part 3: Google Colab

Hands-on learning with Google Colab: from basic setups to uploading files and running scripts.

Part 4: Python Programming

Learn the Python programming essentials that are crucial for AI development and chatbot creation.

Part 5: Working with DeepSeek

Dive deep into DeepSeek, understand its models, and learn how to run them on Colab.

Part 6: Retrieval Augmented Generation

Learn how to process documents and text, turning them into structured data for use in AI models.

Part 7: Building a Chatbot with DeepSeek

The final project: Create a full-stack AI chatbot using DeepSeek API and a Gradio frontend.

By the end of this course, you will be able to build powerful AI chatbots and integrate them into real-world applications, leveraging the power of DeepSeek and Python. Whether you're creating a customer service chatbot or a specialized business assistant, the skills you'll gain will open doors to exciting AI-driven projects.

Who Should Enroll:

• Beginners looking to learn AI and chatbot development.
• Developers who want to enhance their knowledge of AI models and Python programming.
• Anyone interested in building custom business chatbot solutions for various industries.

Who this course is for:

• AI developers who want to know and build app on DeepSeek
• Students who want to learn about GenAI and DeepSeek
• Anyone who want to learn AI and want to join GenAI career path