EXCLUSIVE Free Training From Atul Kumar:
MLOps Mastery for Scalable AI
What, Why & How
This interactive session is designed to enhance your understanding of...
1. What is MLOps, and why is it important?
2. Key benefits: Reproducibility, automation, scalability, and collaboration.
3. Real-world challenges MLOps solves.
Overview of must-know tools:
1. MLFlow: Model lifecycle management.
2. DVC: Data versioning made simple.
3. Docker: Packaging and deploying models.
1. Versioning data and models with DVC and MLFlow.
2. Deploying ML models via APIs with Flask or FastAPI.
3. Monitoring model performance using Evidently AI.
1. Docker for containerizing models.
2. APIs for serving models.
3. Monitoring tools like Evidently AI for drift detection.
4. Why these steps ensure model reliability in production.
Open floor for audience questions.
From Dreams to Reality"
As a Senior Cloud Engineer responsible for cloud migration and infrastructure support, I understand the importance of staying current with the latest technological trends. To remain competitive in a job market increasingly dominated by AI, ChatGPT, and Machine Learning, I decided to enhance my skills by enrolling in the Azure AIML Job Program at K21 Academy.
Raju Kalidindi
I am totally new to Azure and wanted to change career to Cloud. The programme is great – Live lessons are detailed, Resources on portal are great for labs and projects to show on resume, and CV review + Feedback, Mock Interview sessions are useful for preparation. If you put the time in, you can start applying for jobs immediately and get interviews. Like I received one after a month.
Phyo Aung
I am very impressed on the quality of teaching of K21Academy. The live seasons and labs are very helpful to clear up my Azure Certified Solutions Architect Expert. In addition to k21Academy Microsoft learning path is also available. Everyone should be able to access. I recommend K21Academy for your Cloud training with talented instructors and experts customers support of K21Academy they will help you succeed until you get hired. Thank you so much K21Academy.
Jovito Deasis
Awesome training:) These courses cover all the information you need to work with ease in the cloud world, especially with the AWS provider and Microsoft Azure. These K21Academy courses allowed me to understand the cloud: from basic concepts to advanced areas; Thanks again K21Academy team
Cheikh Tidiane Ndiaye
I have previously trained with K21. Signing up to learn specifically about AI/ML/DL/GenAI on AWS is a bit of future-proofing for my career because I can see what is coming in this space. I don’t yet directly use this learning (yet) but that’s thing about being prepared for opportunity – right time, right place.
Marc M (deuxeMM)
– One of the primary hurdles I encountered was related to funding. Despite my efforts to secure sponsorship from my employer for the course, they did not recognize its value.However, recognizing the significant benefits it could offer my professional development, I made the decision to invest in it personally.From a technical perspective, I must acknowledge Angeli, whose prompt and thorough responses via WhatsApp addressed all my course-related inquiries.
Muhammad Saeed Siddiqui
I wasn’t quite sure where to start and what to focus on. Clear path, detail information and mock quiz to test knowledge. Well, I was able to clear AWS cloud practitioner foundaiton exam just within couple of after enrolling and before even online class finish.The course not only provided comprehensive coverage of the AWS Cloud Practitioner exam topics but also equipped me with practical insights and real-world scenarios.
Viren
A Note From Atul Kumar
"The future belongs to those who can bridge the gap between ML models and production..."
Did you know that 87% of ML projects never make it to production? This isn't because of poor models or lack of data science skills – it's due to the missing link: MLOps. Machine Learning Operations (MLOps) is revolutionizing how organizations deploy, monitor, and maintain AI systems at scale. As organizations increasingly rely on AI-driven solutions, the need for efficient, automated, and production-ready ML workflows has never been greater.
MLOps isn't just another buzzword – it's the essential skillset today... & If you're in ML, Data Science, DevOps, or Cloud Engineering, this is for you! Whether you're looking to transition into AI or elevate your current role, MLOps expertise will set you apart in one of tech's fastest-growing specializations.
We'll show you exactly how to build this expertise, avoid common pitfalls, and position yourself for the exciting opportunities ahead in MLOps.
