Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Master the fundamentals of AI, Machine Learning, Neural Networks & Generative AI with hands-on LLMs.
Unlock the world of Artificial Intelligence with this beginner-friendly course that lays the foundation for AI, Machine Learning, and Prompt Engineering. Whether you're a student, a professional, or simply curious about the AI revolution, this course will equip you with essential knowledge and practical skills to thrive in the AI landscape.
The "Foundation of AI, Generative AI & Prompt Engineering" course is designed for beginners and AI enthusiasts who want to build a strong understanding of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI without requiring any prior coding or AI/ML knowledge. This course covers the fundamentals of AI, different types of Machine Learning (ML), Neural Networks, and the latest advancements in Generative AI, including Transformers and Large Language Models (LLMs). Participants will also learn about popular AI models from OpenAI, Microsoft, Google, and Meta. A key focus of the course is Prompt Engineering, equipping learners with techniques to interact effectively with AI models. By the end of the course, participants will gain practical insights and hands-on skills to leverage AI-powered tools and models in real-world applications.
What you’ll learn:
Introduction to the core concepts of AI & ML
Understand the algorithms behind Machine Learning models
Explore how Artificial Neural Networks mimic human thinking
Get a solid overview of Generative AI and its real-world impact
Discover popular LLMs like OpenAI GPT, Google Gemini, and more
Learn how to perform Function Calling using OpenAI APIs
By the end of the course, you’ll have a strong grasp of foundational AI concepts and hands-on experience with the tools that power modern AI applications.
Course Content
- 6 section(s)
- 24 lecture(s)
- Section 1 Introduction to AI & ML
- Section 2 Fundamentals of Machine Learning
- Section 3 Fundamentals of Artificial Neural Networks
- Section 4 Overview of Generative AI
- Section 5 Popular LLM Models
- Section 6 Funcation Calling with OpenAI
What You’ll Learn
- Understand core concepts of Artificial Intelligence and Machine Learning, and differentiate between supervised, unsupervised, and reinforcement learning models.
- Understand the architecture and functioning of Artificial Neural Networks and their role in AI development.
- Describe the principles and applications of Generative AI and identify the strengths of popular LLMs such as GPT, Claude, and Gemini.
- Implement prompt engineering techniques and function calling with OpenAI to build real-world AI-driven solutions.
Skills covered in this course
Reviews
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RRenuka K
Excellent
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KKAKARLA AVULA RAJU
Good Course recommended for all the types of learners!
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KKunchala Anusha
Good
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NNavyasri
Nice