Agentic AI Live Training Instructor

@corpmember29

HEY {{{ I HAVE HANDS-ON EXPERIENCE WITH LLM ORCHESTRATION, MULTI-AGENT SYSTEMS, RAG, EVALUATION AND PRODUCTION AI WORKFLOWS, AND CAN SHOW RELEVANT WORK. }}} I TEACH AGENTIC AI BY BUILDING REAL SYSTEMS LIVE — NOT JUST SLIDES OR THEORY. I understand you need highly interactive sessions covering orchestration, reflex/deliberative agents, multi-agent coordination, memory/RAG, evaluation, autonomous planning, self-healing agents and deployment. For Week 1, I’d start with agent architecture and orchestration, then live-build a tool-using agent with OpenAI Function Calling/LangChain, add memory and evaluation, and finish with a practical mini-project plus acceptance tests. I’ll provide 2+ hour live sessions, notebooks/resources within 24 hours, weekly projects, starter code, tests and capstone feedback. I have 12+ years of IT experience and can work with your cohort in real time. I can share relevant demos/project examples on the platform. Thanks, Christin

@juanpablomacf

The hardest part of teaching agentic AI live to learners who already know tensors from tokens isn't the concepts - it's that multi-agent coordination fails in ways that are genuinely hard to predict live. If week one doesn't build a shared debugging vocabulary, later sessions turn into confusion instead of productive iteration. I work with agentic AI (LangChain, multi-agent systems, RAG) and have experience teaching live, hands-on sessions. I'd structure week one around building the simplest reflex agent live, then deliberately breaking it in front of the group - giving learners a concrete model for reflex vs. deliberative behavior before layering in orchestration complexity. For the foundational layer, I'd pair each orchestration pattern with a live failure case (a prompt-flow that looks right but produces wrong behavior), since debugging together cements understanding more than watching a clean demo succeed. For mini-projects, I'd design acceptance tests that fail in instructive ways - revealing specifically what part of the agent's reasoning broke, not just pass/fail. Do learners come in with hands-on LangChain/vector store experience, or mostly theoretical understanding? That changes how much scaffolding week one needs. Links to past live demos available on request. Juan Pablo

@intelliresponse

With over 13 years of experience under my belt, I'm confident that I'm the perfect fit to elevate your agentic AI learners from foundational to advanced levels. My broad skill set encompassing Python, AI, Full-Stack web development, and more will enable me to deliver the practical and interactive sessions your cohort needs. I've previously designed and executed custom programs just like yours, employing hands-on methodologies that ensure participants truly grasp the material. Let me walk you through how I would structure our first week. I understand that results matter greatly to you, which aligns perfectly with my goal-driven approach. This is evidenced by my completion of projects like Car Rental website development, AI emergency caller using Vapi and Twilio amongst others. Additionally, my expertise in Web Automation & Scraping, Web3 & Blockchain Development or Trading Bot Development equip me with modern frameworks like LangChain, OpenAI Function Calling and Vector stores such as Pinecone or Weaviate which are key requirements for producing agentic models mirroring real-world use cases. Choose me, and together we'll set new industry standards through your motivated AI practitioners.

@carlosd178

Hello, I’ve reviewed your Agentic AI Pioneer Program scope and understand this is designed for learners who already know AI fundamentals and now need hands-on experience building, evaluating, and deploying real agentic systems. My approach would be highly practical: short architectural explanations followed immediately by live coding, debugging, checkpoints, and progressively harder agent exercises. For Week 1, I’d structure the sessions around: • Agent architecture: reflex vs. deliberative patterns and orchestration • Building a working tool-using agent with Python + LLM function/tool calling • Adding structured state, memory and vector retrieval • Mini-project: an agent that plans a task, selects tools, executes steps and is evaluated against acceptance tests From there, we can progress into LangChain, Pinecone/Weaviate, multi-agent coordination, evaluation harnesses, goal decomposition, failure recovery and production deployment. I can provide notebooks/slides, weekly starter repositories with tests, and a measurable capstone rubric. One question: approximately how many learners will be in each cohort? I’m available for 2+ hour interactive live sessions and ongoing project feedback. Best regards, Carlos.

@RusianD

Hey sir, I'm Ruslan, and I am absolutely thrilled about the opportunity to lead your learner cohort through the Agentic AI Pioneer Program. As an experienced AI expert with deep knowledge in AI Agents, Chatbot Development, and Model Development, I feel perfectly aligned with your project's goals of skill enhancement and immediate practicality. My past live demonstrations have always been hands-on and interactive—precisely what you're looking for! I've not only introduced complex concepts but also encouraged my audience to question, iterate, and build in real-time. And this approach has been highly effective with my learners, consistently reaching over 90% participation rate. In addition to strong teaching skills, I bring a wide range of technical expertise necessary for this project-from Python to MySQL to RESTful APIs. My proficiency in modern frameworks such as LangChain and OpenAI Function Calling will be invaluable while guiding the cohort through progressively complex projects mirroring real-world cases. With me at the forefront of your program, you can expect a meticulously structured syllabus, timely deliverables of all project scopes, and active engagement from every participant. Let's make it happen together!

@rakhshanz3

With over 20 years of professional experience, a PhD in Artificial Intelligence, and a strong teaching background from my early days as a lecturer, I am uniquely positioned to excel in the role of an Agentic AI Live Training Instructor. My work at an AI startup as the CTO attests to my ability to deliver advanced digital products and lead end-to-end technical development. The diverse range of applications I've built, including AI voice and chat agents, analytics platforms, and custom AI tools, means that I'm well-versed in the types of systems we’re aiming to teach. To structure our first week effectively and foster learner participation, I propose dedicating ample time to setting a strong foundation with LLM orchestration patterns and reflex-vs-deliberative agent theory. Understanding these core concepts is essential before diving into more intricacies. Further, I have supervised multiple live demos throughout my career and would be happy to share any related examples from my arsenal. In summary, my comprehensive technical expertise across numerous facets of AI and practical experience leading technology-driven projects make me a highly qualified candidate for delivering your Agentic AI Pioneer Program. Let's empower your cohort of serious learners by transforming complex ideas into engaging and readily applicable knowledge together!

@jitendras097

Hello, I HAVE EXPERIENCE WITH AGENTIC AI, LLM APPLICATIONS, RAG, LANGCHAIN, LANGGRAPH, OPENAI FUNCTION CALLING, VECTOR DATABASES, MULTI-AGENT SYSTEMS, EVALUATION AND PRODUCTION AI DEPLOYMENT. I understand you need live, hands-on sessions covering agent fundamentals, multi-agent coordination, memory/RAG, evaluation, autonomous planning, self-healing agents and production deployment. I can structure the first week around agent architecture, tool/function calling and a practical mini-project, with live coding, whiteboard architecture, debugging and checkpoints instead of pre-recorded lectures. Each week can include starter code, acceptance tests and progressively harder projects leading to the capstone. I’ll provide the session calendar, reusable notebooks/resources, project briefs, evaluation criteria and written capstone feedback, while keeping every session practical and interactive. WHAT I AM OFFERING: PRACTICAL LIVE TEACHING, CLEAR COMMUNICATION, REUSABLE MATERIALS AND HANDS-ON PROJECT GUIDANCE. Thanks, Jitendra

@sofiaglzwork

I understood your goal: a fully interactive, hands-on Agentic AI training series that turns experienced AI learners into builders of real agentic systems. I’m excited to teach this in live sessions where every concept is demonstrated, questioned, and applied immediately. I have delivered similar live technical trainings focused on LLM workflows, tool use, retrieval, and agent design, and I know how to keep advanced cohorts engaged with practical, real-world exercises. Your key focus areas are clear: 1) structured progression from foundations to production-grade agentic systems, and 2) measurable learner outcomes through participation, mini-projects, and capstone evaluation. My plan is to map the roadmap into weekly 2-hour sessions, combine architecture whiteboarding with live coding, and deliver starter code, tests, and review notes after each class. To start, I’d need your roadmap attachment, preferred conferencing stack, and assessment format. I can structure week one around orchestration patterns, reflex vs. deliberative agents, and a first live build. Sofia Belem

@nicolasarmandoc

Hello, I can structure the live program around progressive hands-on implementation rather than lecture-heavy sessions. For the first week, I’d start with agent architecture and orchestration patterns, then build a working reflexive agent using LLM tool calling, structured outputs, and evaluation checkpoints. From there, learners can extend the same project into memory, retrieval, and more deliberate decision loops, giving each session a practical foundation for the next tier. I can use a virtual whiteboard for architecture diagrams and prompt flows, while live notebooks provide code that participants can modify during the session. Weekly projects would include starter code, acceptance tests, and clear checkpoints, with the capstone evaluated against a defined rubric. I can also prepare session materials within 24 hours and provide written participant feedback. Would you like the first week centered on OpenAI Function Calling with LangChain, or kept framework-neutral initially? Nicolas

@Aaleen110

The single constraint on this job is the real-time, hands-on nature of all instruction, no pre-recorded material at all. I will build out the live sessions for your "Agentic AI Pioneer Program" using Zoom for video conferencing and screen sharing, and Miro for the virtual whiteboard. I will structure each session around a core agentic system concept, then walk through the implementation using Python and the LangChain framework, showing architectural sketches on Miro as we go. We will focus on building functional agents and debugging them live, so learners can see the process from start to finish. I will teach the foundational, intermediate, and advanced segments of the roadmap as requested, which means covering everything from basic agent architecture to complex multi-agent coordination. Instead of building a new agent for every single example, I will refactor and extend existing agents from earlier in the program. This approach shows learners how to adapt and improve existing systems, mirroring real-world development challenges and leading to deeper skill enhancement, which is your single aim. For the advanced segment on autonomous agents, will we be focusing on agents that can self-critique and refine their outputs, or will the focus be more on agents coordinating to solve a larger problem? 10 reviews on Freelancer at 5.0, everything delivered on time and on the agreed price so far. I will have the first foundational session drafted and ready for review within two days of being awarded the project.

@longngoc2307

==== Hi - Truong here ==== "AGENTIC AI LIVE TRAINING PROGRAM" - you need live sessions where experienced AI learners actually build and test agents, not sit through another lecture. I’d structure week one around agent foundations through a working mini-project: orchestration patterns, tool/function calling, reflex vs deliberative agents, then a small agent with clear evaluation checks. Each session would include live coding, architecture sketches, checkpoints, and time for learners to challenge and modify the implementation. For the later tiers, I’d build toward multi-agent coordination, memory and retrieval, evaluation, autonomous planning, and production deployment. The mini-projects would feed into the capstone instead of being disconnected exercises. How many learners will be in the first cohort, and how many live sessions per week do you expect? Looking forward to work with you.

@ZohaibRoy

⭐⭐⭐⭐⭐ Teach Real-Time AI Classes with Interactive Learning ❇️ Hi My Friend, I hope you're doing well. I reviewed your project details and see you are looking for an AI instructor. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for AI education. I will create engaging live sessions focusing on foundational, intermediate, and advanced AI concepts, ensuring every moment is interactive and practical. ➡️ Why Me? I can easily teach your AI program as I have 5 years of experience in AI and machine learning. My expertise includes real-time teaching, curriculum development, and interactive learning methods. I also have a strong grip on modern frameworks like LangChain and OpenAI Function Calling, which will enhance the learning experience. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ AI & Machine Learning ✅ Interactive Teaching ✅ Curriculum Development ✅ Real-Time Coding Demos ✅ Video Conferencing ✅ Virtual Whiteboard Use ✅ LLM Orchestration ✅ Multi-Agent Coordination ✅ Memory & Retrieval Strategies ✅ Project-Based Learning ✅ Feedback & Assessment ✅ Code Review Waiting for your response! Best Regards, Zohaib

@naminghn

Hi there, I see you’re looking to kick off live training sessions focused on real-time, hands-on learning for AI practitioners. My experience with AI frameworks like LangChain and OpenAI Function Calling equips me to deliver interactive classes, ensuring that each concept is explored thoroughly, blending foundational theories with practical applications. For the first week, I would structure the sessions around foundational LLM orchestration patterns and reflex versus deliberative agent theory, utilizing a virtual whiteboard for diagrams and live demonstrations to engage learners. To confirm availability and participation, I would like to understand the preferred tools for the live-notebook integrations and any specific technologies you want to emphasize during the sessions. I’m excited to discuss how we can make this training series impactful for learners. Best, Ali

@invoketech

Hello, I have reviewed your requirements and can conduct practical live training on agentic AI, from LLM orchestration and tool calling to multi-agent workflows, RAG/memory, evaluation, and production deployment. I have 10+ years of experience in AI, Python, LLM integrations, automation, and backend development. For the first week, I would focus on agent architecture fundamentals, tool/function calling, prompt and workflow design, and a hands-on mini-project built live with the learners. Each session would include live coding, architecture discussions, Q&A, checkpoints, and reusable notebooks/starter code. Please share the roadmap file and preferred schedule so we can discuss the training plan and next steps. Thanks, Invoke Tech

@massihm

Hi, I’d run this as an Agentic AI engineering lab, not a lecture series. For Week 1, learners would first build a minimal agent from scratch, then move into tool/function calling, state, memory, RAG and LangGraph orchestration. By the end of the week they would already have a working mini-agent with an evaluation harness. My teaching loop is: Build → Break → Trace → Repair → Evaluate After an agent works, we deliberately introduce real production failures—bad retrieval, tool timeouts, conflicting agent outputs, broken state or hallucinated actions—then inspect the traces, repair the architecture, and make it pass acceptance tests. That teaches something tutorials usually miss: how to make agents reliable, observable and recoverable. Each session includes live coding, architecture sketches, reusable notebooks/code, checkpoints and a progressively harder project. I can cover LangChain/LangGraph, RAG/vector stores, function calling, CrewAI/AutoGen, multi-agent systems, evaluation, FastAPI/Docker deployment and production agent patterns. I’m also happy to demonstrate the teaching approach in a short live technical session before we begin.

@edgardop86

Hi, guiding learners through your "Agentic AI Pioneer Program" roadmap sounds fantastic. I'd structure the first week focusing on foundational LLM orchestration patterns with interactive LangChain demos. My experience shipping production LLM apps like TryReplify, which involved complex agentic features, aligns well with your practical learning goals. I'm excited to help your cohort master true agentic systems.

@oliverp06

Hello, With over a decade of experience as a full-stack developer and designer, I bring a unique perspective to the world of AI. In addition to developing mobile apps and websites that employ cutting-edge technologies like the ones mentioned in your project, I have also worked on AI automation and chatbot development projects. This has not only honed my technical skills but also made me a great communicator and adept at guiding and teaching interested parties just like your cohort. What sets me apart is my ability to combine deep technical expertise with an emphasis on practical application - something that perfectly aligns with your project's goals. Understanding customer needs, incorporating agile methodologies, and delivering high-quality work are the hallmarks of my service. I strive to not only meet your expectations but also exceed them by offering reusable code examples, session resources, and weekly mini-project briefs meticulously. I am as passionate about staying updated with modern frameworks as I am about transferring knowledge through hands-on, interactive sessions. Although there were no live demos mentioned earlier in my experience section, believe me when I say I can deliver exquisitely educative live sessions. My clients have always appreciated not just what I built for them but how well I communicated and disseminated knowledge throughout the process. Now it's your turn to leverage these skills for an exciting Agentic AI project ahead! Thanks!

@TarimShayan

Hi, Let's cut right to the chase - no fluff, no wasted time. You need Agentic AI Live Training Instructor done right, and you need it done without headaches. I bring deep experience in AI Chatbot Development, AI Model Development, AI Development, AI Agents, AI Automation, and my sole focus is delivering a solution that gets you actual results. Here is what working together looks like: Zero Guesswork: We clarify the exact specs upfront so the execution is seamless. Flawless Quality: Built, tested, and vetted across mobile and desktop before it ever reaches your hands. If you want this taken off your plate today, send over any extra project details or files and I will start immediately. Best regards, Tarim

@johnpaulc46

Hello, Your Agentic AI Pioneer Program needs live instruction that keeps serious practitioners building, not just watching. I would open the first week by turning the three roadmap tiers into a clear rhythm: a short architecture sketch on the virtual whiteboard, then an immediate hands-on build in a shared notebook, then a live checkpoint poll. Day one covers reflex versus deliberative agent loops with OpenAI Function Calling and LangChain. Day two adds memory and retrieval using Pinecone or Weaviate, and we close the week with a mini-project brief that includes starter code and acceptance tests. I have built production AI systems around structured outputs, tool calling, RAG, and multi-step workflows. That means I can explain the failure modes that matter in real agentic systems, such as retries, rate limits, token cost, and evaluation harnesses, rather than only demoing happy paths. I would keep every session interactive, using the whiteboard for prompt-flow diagrams and live code review instead of slide-heavy lectures. The deliverables align directly with your acceptance criteria: a mapped session calendar, resources shared within 24 hours, weekly briefs with tests, and a capstone rubric with written feedback for each participant. I can include two past live demo recordings and a sample first-week outline with my response. Best regards,