The entire program leads to mastery in the field and is intended to give future practitioners a complete curriculum.
Importance of MLOps for AI lifecycle, Difference between DevOps and MLOps
Model versioning, CI/CD pipelines for AI, Monitoring and retraining
Building Docker images for ML models
Scaling AI models with Docker Compose
Using Flask/FastAPI for API endpoints
Pods, Deployments, and Services
Horizontal Pod Autoscaling (HPA)
Exposing model APIs externally
Using volumes for model artifacts
Automating deployment with GitHub Actions
Model versioning with Git
Automating retraining pipelines
Master AI by working on 4+ real-world projectsโbuilding, innovating, and solving challenges to prepare for the fast-moving industry.
AI Ops Specialist
Building an AI agent that autonomously researches and summarizes topics.
AI Ops Specialist
Deploying an AI model on Kubernetes with auto-scaling and load balancing..
AI Ops Specialist
Automating model deployment with GitHub Actions and version control.
AI Ops Specialist
Building an MLOps pipeline to retrain and deploy ML models automatically.
Earn your certification upon completing the required tasks.
Receive an instructor-signed certificate with the institution's logo to verify your achievements and increase your job prospects.
Add the certificate to your CV or Resume, or post it directly on LinkedIn, Instagram, and Twitter.
Use your certificate to enhance your professional credibility and stand out among your peers as an expert.
Showcase your achieved skill set using your certificate to attract employers for desired job opportunities.
Take the first step towards mastering AI and innovation with LW India. Your transformation into an AI Warrior starts here!
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