Ever wondered how to create an AI agent that can see images, listen to speech, and chat back intelligently-all without writing a single line of code? I've put together this hands-on video course using n8n and Telegram to guide you through it step by step. You'll learn to integrate OpenAI for text, transcription, speech synthesis, and image analysis; design visual workflows with routing, memory, and conditional logic; handle Telegram media reliably; and deploy everything for production use. It's practical, layered, and focused on building something real that works. Check out the thumbnail here: https://cdn.completeaitraining.com/videothumbnails/build-a-multimodal-ai-agent-see-speak-and-chat-with-n8n-tele.jpg Enroll here: https://completeaitraining.com/course/build-a-multimodal-ai-agent-see-speak-and-chat-with-n8n-and-telegra-video-course This is a structured way to bridge insight and action-slow down, build clearly, and gain autonomy with AI tools that match real-world needs.

Ever tried generating character videos in VEO 3, only to watch consistency crumble across scenes? I built a straightforward workflow that fixes this, letting you produce polished, long-form videos with characters that look the same every time. Here's what you'll get: - Ways to bypass VEO 3's native limits for reliable outputs - Precise ChatGPT prompting to lock in character appearance - Generating clean character images on green or white backgrounds - Crafting 10-second segments you can swap backgrounds on - Simple editing to stitch them into professional videos This approach saves time and sidesteps platform frustrations, so you focus on the story. Check out the thumbnail below for a preview, and dive into the full course here: https://completeaitraining.com/course/create-consistent-character-videos-in-veo-3-step-by-step-guide-video-course It's designed for creators who want control without the hassle-let me know what you think once you've tried it.

In a world of quick replies and scripted bots, imagine creating chat apps that truly listen, remember context, and respond like thoughtful collaborators. This video course walks you through exactly that, using Microsoft tools like Azure OpenAI. You'll explore the difference between old-school chatbots and generative AI apps, build them step by step with APIs and SDKs, and add real depth: context retention, personalization, clarification prompts, even accessibility features. Then dive into customization with fine-tuning and RAG, plus monitoring performance and responsible AI practices. It's practical, layered learning that helps you see the systems behind the tech and build tools that align with how people actually think and interact. Preview image: https://cdn.completeaitraining.com/videothumbnails/building-generative-ai-chat-apps-with-microsoft-tools-beginn.jpg Enroll here: https://completeaitraining.com/course/building-generative-ai-chat-apps-with-microsoft-tools-beginner-guid-video-course What small step toward building your first one could you take today?

If you're building AI agents but they feel stuck in theory, this course shows you how to connect them to the real world using APIs and n8n. No coding required-just clear steps to automate tasks across your favorite tools. You'll walk through reading API docs, crafting GET and POST requests, configuring them in n8n with native and HTTP nodes, using cURL and JSON for quick imports, plus secure auth and error troubleshooting. It's hands-on, so you can build practical workflows right away. Here's the thumbnail to give you a sense: https://cdn.completeaitraining.com/videothumbnails/api-essentials-for-ai-agents-build-smart-workflows-with-n8n.jpg Enroll here: https://completeaitraining.com/course/api-essentials-for-ai-agents-build-smart-workflows-with-n8n-integra-video-course What small integration could transform your setup today?

Ever feel like basic chatbots fall short for real research? I created this video course to help you build multi-agent systems using LlamaIndex Workflows that actually collaborate, analyze deeply, and synthesize insights - with streaming progress and human input where it counts. It's designed for those ready to layer systems thoughtfully: you'll understand core components like LLMs, tools, workflows, and context; orchestrate agent handoffs; integrate tools cleanly with types and docstrings; and handle streaming, context, and human loops practically. This bridges the gap from simple tools to structured, autonomous research setups that align with how we think and work long-term. Slow down, build clearer, choose consciously. Dive in here: https://completeaitraining.com/course/build-advanced-research-ai-multi-agent-systems-with-llamaindex-work-video-course Preview image attached.