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Course Overview

Explore the transformative world of Generative AI with this comprehensive program. The course begins with core concepts and technological foundations, followed by an introduction to leading large language models (LLMs) such as ChatGPT, Gemini, LLaMA, and Claude. Learners will gain hands-on exposure to prompt engineering and modern GenAI frameworks, including LangChain, HuggingFace, Haystack, LlamaIndex, Amazon Bedrock, Olama, and Groq. Advanced topics cover LoRA, QLoRA, RAG, vector databases, tools, and agents. To support learning, a two-day Python introduction highlights programming essentials for Generative AI applications.

Course Content

  • 1. Basics of Gen AI
  • 2. Technological aspects of Gen AI
  • 3. Major LLMs and their producers - Chat GPT,Gemini,Llama,cloude etc
  • 4. Prompt Engineering
  • 5. Frameworks of Gen AI:
    • Langchain
    • HuggingFace
    • Haystack
    • LamIndex
    • Amazon Bedrock
    • Olama
    • Groq
    • Lora , Qlora
    • RAG
    • Vector Database
    • Tools
    • Agents

1: Do I need any experience?

Absolutely! Many AI courses are designed specifically for beginners. They start with foundational concepts and often use beginner-friendly tools and platforms that minimize complex coding. Look for courses labeled "Introductory," "No-code AI," or "AI for Everyone." These will help you build a solid understanding of the principles before you advance to more technical, programming-heavy topics.
These terms are often used interchangeably, but they represent a hierarchy of concepts:
- Artificial Intelligence (AI) is the broadest field, focused on creating machines capable of intelligent behavior.
- Machine Learning (ML) is a subset of AI that gives computers the ability to learn from data without being explicitly programmed for every task.
- Deep Learning (DL) is a further subset of ML that uses complex neural networks to solve advanced problems like image and speech recognition.
Most foundational courses will cover the relationship between these fields, while specialized courses will dive deep into one area.
Our courses are project-based to ensure you gain hands-on experience. You'll work on real-world projects such as building a movie recommendation system, developing a chatbot, or creating an image classifier. These projects form a practical portfolio that demonstrates your skills to employers. This hands-on approach prepares you for roles like AI Specialist, Machine Learning Engineer, or Data Analyst, and equips you with in-demand skills to solve business problems.

Student Reviews

Considering primary motivation for the generation of narratives is a useful concept