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Unclaimed ProfileThe transition from passive language model prompting to active, autonomous agentic systems represents the next major frontier in artificial intelligence. This comprehensive bootcamp, designed by Metla Sudha Sekhar, provides a perfect entry point for beginners looking to master Agentic AI and deploy functional business agents. Throughout the course, learners explore the foundational architecture of autonomous agents—specifically how they think, plan, and execute tasks independently. By leveraging Python, LangChain, and advanced Large Language Models (LLMs), students gain practical, hands-on experience building real-world automation tools. Key highlights of the curriculum include setting up Retrieval-Augmented Generation (RAG) to connect proprietary business data, utilizing Ollama for secure, offline local LLM integration, and deploying final interactive applications with Streamlit. Whether you aim to build intelligent customer support systems, automated resume screeners, or specialized research assistants, this course equips you with the programming skills and architectural knowledge needed to succeed. Perfect for software developers, tech-savvy entrepreneurs, and freelancers, this practical guide ensures you can confidently build, monitor, and scale AI-driven workflows for modern enterprises.
About the creator
Metla Sudha Sekhar
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Metla Sudha Sekhar is a seasoned technology educator and developer dedicated to empowering students through modern software development and generative AI integration. With a robust background spanning web development, database management, and programming languages like Python and Java, Metla has successfully transitioned traditional engineering curricula into the AI-assisted era. Through a practical, project-based teaching methodology, learners transition from foundational programming syntax to mastering advanced concepts like object-oriented programming and database queries utilizing next-generation tools. Metla's curriculum is uniquely designed to integrate state-of-the-art AI assistants—including ChatGPT, Google Gemini, and Tabnine—directly into the development lifecycle. By focusing on modern paradigms such as…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Understand the fundamentals of Agentic AI and how autonomous agents think, plan, and act
- Build AI agents from scratch using Python, LLMs, and LangChain
- Create real-world business use cases like AI customer support, resume analyzer, and research assistant
- Implement RAG (Retrieval-Augmented Generation) to connect custom data with AI agents
- Learn how to integrate local LLMs (like Ollama) for secure and offline AI solutions
- Handle error management, retries, and performance monitoring in AI agents
- Deploy AI agents using tools like Streamlit for real-time applications
- Build AI solutions for freelancing, startups, and enterprise use cases
- Gain hands-on experience through real-world projects and practical implementations
Best For
- Software developers looking to transition into building autonomous AI workflows
- Tech-savvy entrepreneurs wanting to automate business processes with AI agents
- Beginners with basic Python knowledge eager to apply LangChain and LLMs
- Freelancers aiming to offer AI-powered automation services to clients
Not For
- Complete beginners with zero prior programming or Python experience
- Individuals looking for high-level theory without any hands-on coding
- Data scientists seeking deep academic research on neural network architecture
- People wanting to use proprietary enterprise software that does not require building
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