AI/ML Course Content Trainer Needed

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@vishal1145

Your curriculum will fail if learners can't deploy models to production. Most AI courses teach theory in Jupyter notebooks but skip the critical step of containerizing models, setting up CI/CD pipelines, and handling real-world API failures. That gap is why graduates struggle in actual engineering roles. Before architecting the learning path, I need clarity on two things: What's the target skill level - are these developers who need ML upskilling or data scientists who need AWS deployment experience? And what's your current failure point - are students getting stuck on SageMaker endpoints, Docker builds, or the conceptual leap from notebooks to production APIs? Here's the architectural approach: - AGENTIC AI + LANGCHAIN: Build a capstone where students deploy a multi-agent system using LangChain on Lambda, handling tool calling, memory persistence in DynamoDB, and streaming responses through API Gateway. - AWS SAGEMAKER + ECR: Design labs that take students from training a custom PyTorch model to packaging it in Docker, pushing to ECR, and deploying as a SageMaker endpoint with auto-scaling policies. - GITHUB COPILOT INTEGRATION: Create exercises where students use Copilot to generate boilerplate FastAPI code, then manually add error handling and logging - teaching them when to trust AI suggestions versus when to override. - CI/CD + CLOUDFORMATION: Build a grading pipeline that automatically tests student submissions using GitHub Actions, deploys their models to a sandbox AWS account, and validates inference accuracy against test datasets. - DEEP NEURAL NETWORKS: Structure hands-on labs around real business problems - fraud detection, recommendation engines, computer vision - not toy datasets, so learners see how architecture decisions impact cost and latency. I've designed 4 enterprise training programs for clients including a fintech that needed to upskill 50 engineers on MLOps. I don't build courses that look good on paper but break when students actually run them. Let's schedule a call to walk through your existing materials and identify what's missing from a production engineering perspective.

@mayankinnovative

Hi, As per my understanding: You are looking for an expert to design and deliver a hands-on AI/ML curriculum focused on agentic applications and production-grade Python. The program requires labs and capstone projects deployed on AWS, using services like SageMaker and Lambda, while integrating AI-assisted workflows like GitHub Copilot. Beyond curriculum design, you need a trainer to lead sessions for corporate batches and ensure every technical exercise is stress-tested for seamless execution. Implementation approach: 1. Curriculum Design: I will create a structured learning path with slide decks and instructor notes that blend deep learning theory with full-stack engineering practices using React and Node.js. 2. AWS Lab Environment: I will build and test automated labs using CloudFormation and Docker, ensuring all student projects run smoothly on SageMaker and ECR within the AWS stack. 3. Interactive Learning: I will integrate real-world AI pair-programming workflows into the labs, using CodeWhisperer and Copilot to reflect modern industry standards. 4. Corporate Delivery: I will conduct live training sessions for your corporate cohorts, using automated grading scripts to provide instant feedback and iterating on content based on learner performance. A few quick questions: 1. What is the typical duration of your corporate batches (e.g., 2 weeks or weekend sessions)?

@abdf2010

Hello, I am interested in your project, AI/ML Course Content Trainer Needed. I've successfully completed projects involving Python, Machine Learning (ML), Amazon Web Services before. Happy to discuss the details whenever works for you.

@nadeemkhan7

Hello, I went through your project description and it seems like that I am a great fit for this job. I have an expert team with many years of experience in Python, Machine Learning (ML), Amazon Web Services, AI Model Development, Deep Neural Network, Agentic AI. Lets connect in chat so that we discuss further. Thank You

@ssquare489

With a rich background in building production-grade AI solutions and a robust understanding of AWS, Python, and Machine Learning, I am the perfect candidate to craft, test, and teach your AI/ML course. Having worked at Google and Apple, I bring a level of excellence to my tasks that ensures not only accuracy but also an understanding of how modern software engineering practices integrate with AI. My skills extend beyond just AI development - I'm experienced in full-stack technologies like React, Node.js, and Docker useful in creating a comprehensive curriculum. Not only can I design a coherent learning path and build the essential labs, but I can also create automated tests and grading scripts tailored specifically for AWS deployment. Moreover, my familiarity with Github Copilot will provide students with real-world intersection of AI and pair-programming. My experience integrating end-to-end workflows seamlessly between AWS stack's components like SageMaker, Lambda, ECR etc gives me an edge in stress-testing these exercises for varying skill level audiences. In addition to my technical expertise, I have developed an efficient and transparent client-centric development process over the years that’ll significantly support my role in designing your course. My process involves deep context comprehension through discussions which I believe is a crucial factor for this project's success.

@PyMLExpert1

: With my extensive experience in Python and Machine Learning, I not only understand the intricate aspects of AI/ML but also the practical implications it has in real-world settings. I'm well-versed with all the tools you've mentioned - SageMaker, Lambda, ECR, and more - as I believe that a comprehensive understanding and application of these can lead to an efficient deployment of models. My knowledge doesn't stop at Python or AWS; I am proficient in full-stack development along with experience using React, Node, Docker, CI/CD and can seamlessly integrate modern software engineering practices into your course. Having developed end-to-end AI solutions in the past, I'm keenly aware of the challenges one can face when scaling and deploying sophisticated models. Thus I prioritize writing clean and organized code that can be easily maintained without compromising on complexity. On top of that, my familiarity with GitHub Copilot or similar assistants will allow learners in your course to get a taste of authentic AI pair-programming. Lastly, I believe that learning never stops, especially in a field like AI where new techniques constantly emerge. That is why I heavily rely on continuous feedback loops for constant improvement. In the course of our engagement together, iterating quickly based on feedback is a principle that I stand by giving you an ultimate guarantee of results that keep getting better over time.

@alvinm66

Hi there, Hope you’re doing well. I will design and develop a structured, hands-on AI/ML training curriculum focused on production-ready Python, agentic AI systems, and real-world AWS deployments. I have solid experience in Python development, machine learning workflows, and cloud-based ML infrastructure using AWS services like SageMaker, Lambda, and Docker-based deployments. I will create a complete learning path with slide content, instructor notes, practical labs, and capstone projects deployed on AWS. Each module will include tested exercises, automated validation scripts, and real-world workflows incorporating tools like GitHub Copilot to simulate production engineering environments. You will get a fully structured, scalable training program that is practical, industry-aligned, and ready for corporate delivery with stable lab environments and clear learning outcomes. Looking forward to working on your project. Thank you.

@nevenac888

✨✨✨Dear Respected Client✨✨✨ I carefully read your AI/ML curriculum development requirements I understand you need a production-ready, hands-on course focused on agentic AI and AWS deployment I have experience designing AI/ML learning paths with Python, ML, and deep learning concepts I work with AWS services like SageMaker, Lambda, ECR, and CloudFormation for real deployments I can build labs, capstone projects, and automated grading scripts with CI/CD integration I also integrate modern tools like GitHub Copilot for real-world AI-assisted development workflows I ensure every module is tested, stable, and scalable for corporate training cohorts Thank you for hiring me.

@miguelangelj21

Hello, thank you for sharing this opportunity. Designing and delivering a production-ready AI/ML program with a strong focus on agentic applications and AWS deployment is something I find highly engaging. I have experience working with Python-based workflows, structured problem-solving, and building reproducible environments, and I’m comfortable integrating modern tools like GitHub Copilot into practical learning scenarios. I’m particularly interested in: * Structuring a clear learning path from fundamentals to production-grade systems * Designing hands-on labs that reflect real-world use cases * Ensuring all exercises are robust, testable, and deployable in AWS environments * Creating clean, well-documented materials that are easy to follow for different skill levels To better understand the scope, I’d like to clarify: * The target audience (technical background and experience level) * Expected depth of AWS integration per module * Timeline and milestones within the 3-month engagement * Existing materials that can be reused or improved I’m also open to delivering sessions for corporate groups and iterating based on feedback to continuously improve the program. Looking forward to discussing this further.

@mca94

Hola, un gusto saludarte. Como profesional en Biología, entiendo perfectamente la importancia de comunicar temas de salud y bienestar con base científica, pero de una manera cercana y fácil de digerir. Mi formación me permite investigar en fuentes médicas y científicas confiables para que tu blog tenga autoridad y credibilidad. Mi enfoque para tu blog: Rigurosidad y Cercanía: Traduzco conceptos de salud complejos a un lenguaje conversacional que conecte con tus lectores. Fuentes Confiables: Cito estudios actualizados de forma natural dentro de la narrativa. Estructura Atractiva: Utilizo subtítulos claros y llamadas a la acción que inviten al debate y a compartir el contenido. Estoy lista para colaborar en este primer artículo y establecer una relación a largo plazo. ¿Tienes algún tema de salud específico en mente para empezar?

@shikhark76

Hi, I understand your requirement for building a structured AI/ML training program with hands-on projects and real-world deployment. I have experience working with Python, machine learning, and practical AI-based systems, and I can help design clear learning modules along with simple labs and project workflows. I can assist in creating course content, basic assignments, and ensure the material is easy to understand and practical for learners. I am also comfortable adapting quickly based on feedback and improving the course structure as needed. I am available to start immediately and can support you throughout the development process. Thanks.

@ronycpa

Hi there, I was immediately drawn to your project for expanding the AI/ML skilling programme. Building a hands-on curriculum focused on agentic applications and production-grade Python deployed on AWS aligns perfectly with my background as a senior software architect and educator. I understand your goal is ensuring every lab, capstone, and exercise is stress-tested and deployed using modern DevOps (Docker, CI/CD). I have extensive experience with the AWS stack you highlighted - SageMaker, Lambda/ECR for serverless container workloads, and CloudFormation for Infrastructure as Code. My approach: 1. Real-World Agentic Engineering: I will design slide decks and instructor notes bridging the gap between basic ML and production-grade agentic wrappers. 2. Automated Testing and AWS Labs: I will build grading scripts and automated lab environments using Python and CloudFormation for a seamless learning experience. 3. Full-Stack and Copilot Integration: With deep experience in React and Node, I can integrate full-stack examples and design labs using GitHub Copilot and AWS CodeWhisperer workflows. I have significant experience delivering technical sessions to corporate engineering batches and am comfortable answering architectural questions from senior attendees. Let us schedule a chat to discuss the specific Capstone projects you envision. Best regards, Rony R.

@vicmor601

As an AI/ML enthusiast and developer with in-depth knowledge of Python, I can bring a unique perspective to your skilling program. I have vast experience in crafting comprehensive curriculums and creating engaging instructional content that caters to learners of different skill levels. What sets me apart is my proficiency with the entire AWS stack including SageMaker, Lambda, ECR, CloudFormation and their new AI-powered workflows like CodeWhisperer/Copilot. I understand the importance of hands-on experience in mastering these technologies and thus ensure that not only the labs but also all automated tests and grading scripts run seamlessly on AWS. Moreover, my full-stack expertise, integrating modern software engineering practices like React, Node, Docker and CI/CD will add immense value to each lesson. Lastly, the fact that you offer remote or hybrid flexibility alongside the opportunity to travel for workshops resonates perfectly with me. I'm excited about your project and want to be a part of it from start to finish - iterating on feedback and ensuring error-free exercises for every cohort undergoing your course. Looking forward to discussing this further with you!

@oimrqs

Hi, I can help design and test a hands-on AI/ML curriculum with practical exercises instead of just slide content. I would structure the course around clear learning outcomes, runnable notebooks, small datasets, checkpoints, and assessment tasks. The emphasis would be on making each module actually work for learners: setup, examples, exercises, expected outputs, and troubleshooting notes. Deliverables: - module outline and learning objectives - practical notebook/exercise drafts - tested setup instructions - quiz or assessment ideas - trainer notes for delivery Before starting I would need the target learner level, course duration, preferred tools, and the list of topics you want covered.

@lscharanr4

Iam gave this less time i bid. With more perfection. I am .perfect utilisation i bided time. Complete my job. Any interset of you Accept my bid

@Appworldz

Hi, Sahanaj here. I’ve designed enterprise AI/ML training programs with AWS (SageMaker, Lambda, CI/CD) and hands-on labs deployed at scale. Your rate is aligned. I estimate 120–160 hours over 8–12 weeks (₹1.5L–₹3.5L) for full curriculum, labs, grading scripts, and delivery support. I’ll build production-grade agentic workflows, AWS-deployed labs, and industry-relevant capstones with clean documentation. One question: what’s the target learner level (pure beginners, intermediate devs, or experienced engineers)?

@amnab498

Hi, I went through your requirement carefully, and I like the direction you’re aiming for — a practical, production-focused AI/ML program rather than just theory. I have experience working with Python-based ML projects and deploying solutions, and I’m comfortable with AWS services like SageMaker and Lambda . I’ve also worked on building structured projects (including data processing, model training, and deployment), so I understand how to design learning material that actually helps learners apply concepts. For your program, I can help with: * Designing a clear and structured curriculum around agentic AI and real-world use cases * Creating hands-on labs and capstone projects that run smoothly on AWS * Writing simple, understandable instructor notes and slides * Testing exercises properly so learners don’t face unnecessary issues * Iterating based on feedback and improving the material over time I focus on keeping things "practical, clean, and easy to follow", especially for learners with different skill levels. I’d be happy to collaborate with your team and build something that delivers real value to your learners. Let me know if you’d like to discuss further.