Generative AI
A free Telugu-language course that takes you from prompt engineering basics to advanced techniques like chain of thought, RAG, and running LLMs locally with Ollama.
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Now playing: Class 01 | [FREE] Prompt Engineering Tutorial Gen Ai in Telugu | Gen Ai Prompting | Ai Syntax Telugu
This learning path follows the Ai Syntax Prompt Engineering & Generative AI course in Telugu, in the order the videos were published. It starts with what prompt engineering is and how AI, machine learning, deep learning, data science, and generative AI relate to each other. From there it moves into practical prompting methods such as zero-shot, one-shot, and few-shot prompting, chain of thought, context injection, RAG, role based prompting, constraint based prompting, and well-structured prompt design. The final lesson is a hands-on session on installing Ollama, running large language models locally, connecting them with Python, and using the Ollama UI. The course is taught in Telugu and is aimed at students, developers, content creators, and anyone who wants to work with tools like ChatGPT, Gemini, and Midjourney. No prior prompt engineering experience is assumed, though basic computer familiarity helps.
Beginners who want a structured free introduction before deeper practice.
Lesson 1: Class 01 | [FREE] Prompt Engineering Tutorial Gen Ai in Telugu | Gen Ai Prompting | Ai Syntax Telugu
This opening class introduces prompt engineering: what it is, why it matters, and how better prompts lead to better results from AI tools. It references tools such as ChatGPT, GPT-4, Midjourney, and Bard as examples of where prompting skills apply. It sets up the rest of the course for beginners.
Open on YouTubeLesson 2: Class 02 | [FREE] Prompt Engineering Tutorial Gen Ai in Telugu | AI vs ML vs DL vs DS vs Gen Ai
This class walks through the broader AI landscape, covering artificial intelligence, machine learning, deep learning, data science, and generative AI. The goal is to show how these fields relate to each other and where generative AI fits. It is aimed at beginners who want clear definitions before moving into prompting techniques.
Open on YouTubeLesson 3: Class 03 | [FREE] Prompt Engineering Tutorial Gen Ai in Telugu | Personalization, Ethics, ChatGPT IQ
This episode focuses on ChatGPT and Google Gemini, looking at how these models work at a practical level. It covers personalization options, ethical considerations around AI use, and touches on the idea of ChatGPT IQ. The aim is to help learners use these tools more thoughtfully and effectively.
Open on YouTubeLesson 4: Class 04 | [FREE] Prompt Engineering Tutorial Gen AI in Telugu | Shot Prompting | Zero One Few Shot
This class introduces shot prompting: zero-shot, one-shot, and few-shot approaches. It explains how giving a model examples in the prompt can change the quality and style of its responses. The lesson is designed for beginners who want a clear mental model of this technique.
Open on YouTubeLesson 5: Class 05 | [FREE] Prompt Engineering Tutorial Gen AI in Telugu | Chain of thought Promoting | COT
This lesson covers chain of thought prompting, a technique that encourages a model to work through steps before giving a final answer. It links to the original shot prompting and chain of thought research papers for reference. The class is part of the core techniques section of the course.
Open on YouTubeLesson 6: Class 06 | [FREE] Prompt Engineering Tutorial Gen AI in Telugu | Context injection Promoting Telugu
This class explains context injection, a prompting technique where you supply relevant background information inside the prompt. It shows how added context can make model responses more accurate and specific. The lesson is taught in Telugu with practical framing for beginners and developers.
Open on YouTubeLesson 7: Class 07 | [FREE] Prompt Engineering Tutorial Gen Ai in Telugu | RAG Explain in Telugu | Ai Syntax
This session dives into Retrieval Augmented Generation, or RAG. It explains the concept of retrieving relevant information and feeding it to a model to generate better answers. The lesson is part of the Gen AI course and is aimed at learners who want to understand how RAG works in practice.
Open on YouTubeLesson 8: Class 08 | [FREE] Prompt Engineering Tutorial in Telugu | Role Based Prompting Technique in Telugu
This class covers role based prompting, where you assign the model a role or persona to shape its responses. It includes live demonstrations with ChatGPT to show the technique in action. The lesson is short and focused on one practical pattern.
Open on YouTubeLesson 9: Class 09 | [FREE] Prompt Engineering Tutorial in Telugu | Constraint Based Prompting Technique
This lesson introduces constraint based prompting, where you set limits or rules that the model must follow. It uses simple explanations and live ChatGPT demonstrations to show how constraints shape output. The class is part of the practical prompt design section.
Open on YouTubeLesson 10: Class 10 | [FREE] Well Structured Prompt Engineering Tutorial in Telugu | ChatGPT Prompt Design
This class teaches well-structured prompting, a method for organizing prompts so they produce clear, accurate, and consistent results. It focuses on prompt design with ChatGPT and is presented as one of the most practical techniques in the course. The lesson builds on earlier prompting patterns.
Open on YouTubeLesson 11: Install Ollama, Run LLM Models Locally | Ollama in Telugu | Python Integration & UI Demo in Telugu
This hands-on lesson shows how to install Ollama and run large language models locally on a desktop or laptop. It covers pulling and running models, integrating Ollama with Python, and using the Ollama UI with a practical demo. It is the final video in the playlist and moves from prompting concepts to local model setup.
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