FREE 2 HOUR WEBMINAR | ML OPS & GEN AI | CODING MACAW
Event PAST

FREE 2 HOUR WEBMINAR | ML OPS & GEN AI | CODING MACAW

21 August Online

About this event

Start your journey into MLOps (Machine Learning Operations) with our FREE 1-Day Live Online Webinar designed for beginners, students, freshers, software developers, data scientists, machine learning enthusiasts, IT professionals, and career switchers.

This 2-hour webinar provides a beginner-friendly introduction to MLOps, Machine Learning Operations, Python, Machine Learning Model Deployment, ML Pipelines, Docker, Kubernetes, AWS, CI/CD, and Model Monitoring. Learn how machine learning models move from development to production and understand the key skills and technologies used by MLOps Engineers and Machine Learning Engineers.

If you're interested in MLOps, Machine Learning Engineering, AI Engineering, Machine Learning Model Deployment, AWS, Docker, Kubernetes, or DevOps, this webinar is a great place to start.

Topics Covered:

  • Introduction to MLOps & Machine Learning Operations
  • MLOps Lifecycle & Machine Learning Workflow
  • Python Fundamentals for MLOps
  • Machine Learning Model Deployment Basics
  • ML Pipelines & Automation
  • Introduction to Docker & Containerization
  • Kubernetes Fundamentals for MLOps
  • AWS & Cloud Computing for MLOps
  • CI/CD for Machine Learning
  • Model Monitoring & MLOps Career Roadmap

Who Should Attend?

Students, freshers, software developers, data scientists, machine learning beginners, AI enthusiasts, Python developers, IT professionals, DevOps beginners, and career switchers interested in MLOps, Machine Learning Engineering, AI Engineering, and Cloud Technologies.
No prior professional experience in MLOps is required.

Technologies Covered:

Python · Machine Learning · MLOps · AWS · Docker · Kubernetes · ML Pipelines · Model Deployment · CI/CD · Model Monitoring · Cloud Computing · DevOps

Webinar Details:

Date: AUGUST 21, 2026
Time: 10:30 AM – 12:30 PM EDT
Duration: 2 Hours
Session: Single Live Session
Mode: 100% Live Online

Limited seats available. Register now and discover how to start your journey toward a career in MLOps, Machine Learning Engineering, AI Engineering, or Cloud Technologies.
www.codingmacaw.com

Contact:

+1 (914) 224-3681
+1 (914) 224-3195
+1 (347) 794-0336
+1 (347) 928-9911

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.