Comprehensive Prompt Engineering Agentic AI Course
Budget: ₹1,500 – ₹12,500 INR
I’m putting together a self-paced video course that will guide intermediate AI practitioners from a brief refresher on core concepts all the way to building sophisticated, agent-driven automations. The audience already understands basic machine-learning terms, so the focus is squarely on advanced prompt-engineering strategies and the practical construction of autonomous or semi-autonomous AI agents.
Here’s what I need from you:
• A clear, modular curriculum that starts with advanced prompt-design patterns (role prompting, chain-of-thought, multi-shot techniques, retrieval-augmented generation, evaluation frameworks) and progresses to hands-on agent orchestration with frameworks such as LangChain, OpenAI Functions, or similar.
• Detailed video scripts, slide outlines, and on-screen demo plans for every lesson—concise, engaging, and suitable for recording in 10- to 15-minute segments.
• Working code examples, notebooks, and mini-projects that show learners how to turn prompts into end-to-end workflows (for instance, data extraction agents, multi-tool assistants, or task-chaining bots).
• Short knowledge checks or challenge tasks after major sections to reinforce learning; quizzes can be provided as simple question banks I can import into an LMS.
• A short instructor guide so I can record, brand, and release the material smoothly.
Keep the content tool-agnostic where possible, but feel free to lean on GPT-4, Claude, or any open-source LLMs for demonstrations. Clarity, conciseness, and real-world relevance are critical. If you’ve produced technical video courses before, show me examples—I’m especially interested in narrative flow and visual pacing.
Deliver the full package as organized folders (curriculum outline, scripts, assets, code) so I can move straight to recording and post-production.
Here’s what I need from you:
• A clear, modular curriculum that starts with advanced prompt-design patterns (role prompting, chain-of-thought, multi-shot techniques, retrieval-augmented generation, evaluation frameworks) and progresses to hands-on agent orchestration with frameworks such as LangChain, OpenAI Functions, or similar.
• Detailed video scripts, slide outlines, and on-screen demo plans for every lesson—concise, engaging, and suitable for recording in 10- to 15-minute segments.
• Working code examples, notebooks, and mini-projects that show learners how to turn prompts into end-to-end workflows (for instance, data extraction agents, multi-tool assistants, or task-chaining bots).
• Short knowledge checks or challenge tasks after major sections to reinforce learning; quizzes can be provided as simple question banks I can import into an LMS.
• A short instructor guide so I can record, brand, and release the material smoothly.
Keep the content tool-agnostic where possible, but feel free to lean on GPT-4, Claude, or any open-source LLMs for demonstrations. Clarity, conciseness, and real-world relevance are critical. If you’ve produced technical video courses before, show me examples—I’m especially interested in narrative flow and visual pacing.
Deliver the full package as organized folders (curriculum outline, scripts, assets, code) so I can move straight to recording and post-production.