Artificial intelligence has become one of the most exciting technological fields of our time. It is important to improve yourself and stay up-to-date in the constantly evolving artificial intelligence landscape. These training videos, under the guidance of popular instructors, will introduce you to cutting-edge technologies such as Google Gemini, Azure AI Fundamentals, and OpenAI. Thanks to these videos, which cover a wide range from the fundamentals of artificial intelligence to hands-on projects, you can push the boundaries of AI and advance your career. Get ready, because you are about to make a quick entry into the world of artificial intelligence!

Developed by popular instructor Ania Kubów, this beginner-level course offers an in-depth look at Google’s artificial intelligence model and the Gemini API. Whether you aspire to build your own AI chatbot or are simply curious about the potential of large language models (LLMs), this course has got you covered.

The course provides a comprehensive introduction to Google Gemini and its applications. Starting with the basics, it covers what artificial intelligence is, delves into Large Language Models (LLMs), and guides you through the process of getting your API key, an important step in interacting with Gemini’s capabilities.

Course content:

Introduction to Google Gemini: Discover what Google Gemini is and why it is an important tool in the field of AI development.
Understanding AI and LLMs: Gain a solid foundation in artificial intelligence and Large Language Models, which is crucial for grasping Gemini’s capabilities and applications.
Getting Your API Key: A step-by-step guide on how to get your API key, enabling you to start experimenting with Gemini.
Exploring Models: Learn about the different models available in Gemini and how to choose the right one for your project.
Initializing the Generative Model: Understand how to initialize Gemini’s generative model for your applications.
Various Functionalities: Dive into the functionalities offered by Gemini, including text-to-text, text/image-to-text, text-to-chat, and text-to-embeddings.
Building an AI Code Companion: The course culminates in a hands-on project where you will build an AI chatbot showcasing the practical application of the skills you have learned.

The Azure AI Fundamentals Certification is for those pursuing a career as an AI Engineer, Data Scientist, or in Machine Learning.

Azure AI Fundamentals covers the following:

  • Azure Cognitive Services
  • AI Concepts
  • Knowledge Mining
  • Responsible AI
  • Fundamentals of ML pipelines and MLOps
  • Classical ML models
  • AutoML and Azure ML Studio

A 30-hour GIANT artificial intelligence training video prepared by three experts in the AI field, Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy, featuring a 13-day program focusing on a unique aspect of generative AI and its applications every day.

Course content:

Days 1-2: The course begins with an introduction to the Generative AI Community and OpenAI, laying out the basics of the OpenAI API, a critical tool in AI development.
Days 3-5: Students will deeply explore LangChain and its integration with the Hugging Face API, along with LangChain lessons for creating more cohesive AI models.
Days 6-7: The course accelerates with a hands-on project using OpenAI and LangChain, guiding students through the development and deployment phases of a generative AI project.
Days 8-10: An in-depth look at Vector Databases for AI and mastering these with tools like Pinecone and ChromaDB, which are essential for efficiently processing complex AI data.
Day 11: Introduction to Meta Llama 2, exploring the latest advancements in generative models.
Days 12-13: An intensive two-part series on building an end-to-end medical chatbot project, demonstrating the real-world applications of generative AI.
Special Sessions: Additional insights on everything you need to know about an end-to-end generative AI project using Gemini Pro LLM and Google Gemini Pro. The course concludes with a webinar on the Generative AI Revolution, predicting the future of artificial intelligence.