Artificial Intelligence & Machine Learning Certification Training

Name: Artificial Intelligence & Machine Learning Certification Training
Availability: InStock
Rating: 4.8 (10000 reviews)

★★★★★

10,000+ Ratings

Recognized as a Top Industry-Ready AI & ML Program

Comprehensive curriculum covering Python, Machine Learning, Deep Learning, NLP, Computer Vision, and AI model deployment
Interactive sessions guided by AI/ML engineers and data scientists from leading tech companies
Real-time projects including predictive modeling, image and speech recognition, and AI-driven applications
Get certified by EduPrajna with validation from AI and ML industry professionals

In Collaboration With

Artificial Intelligence & Machine Learning

This program focuses on building core competencies in Artificial Intelligence and Machine Learning, equipping you with the knowledge and tools to develop intelligent systems. Learn programming in Python, implement machine learning algorithms, and apply deep learning techniques using frameworks like TensorFlow and PyTorch. Gain hands-on experience in working with real-world datasets, training models, and evaluating performance for tasks such as image recognition, natural language processing, and predictive analytics. Master data preprocessing, model tuning, and deployment strategies to create scalable AI solutions. With project-based learning, you'll build intelligent applications, explore ethical AI practices, and prepare for dynamic roles in AI research, automation, robotics, and data-driven innovation across various industries.

What role does DevOps Engineer play?

DevOps Engineer

Implement CI/CD pipelines, automate deployments, manage version control, and enhance collaboration between dev and ops teams.

Cloud Engineer

Deploy and manage cloud infrastructure using AWS, Azure, or GCP, ensuring scalability, availability, and cost-efficiency.

Site Reliability Engineer (SRE)

Ensure high availability and performance of services by applying software engineering principles to operations.

Release Engineer

Manage software releases, build automation workflows, and oversee the smooth deployment of new application versions.

Infrastructure Engineer

Design and manage on-premises or cloud-based infrastructure using tools like Terraform, Ansible, and Kubernetes.

Monitoring & Security Engineer

Monitor infrastructure, manage logs, set up alerting systems, and ensure security across CI/CD and production environments.

Tools You Will Learn

DevOps Projects

CI/CD Pipeline with GitHub Actions

Automate testing, building, and deployment of applications using GitHub Actions, Docker, and Heroku. Includes Slack integration for deployment alerts.

Terraform Infrastructure on AWS

Provision and manage EC2, RDS, and security groups using Terraform. Automate cloud infrastructure with reusable and version-controlled code.

Microservices with Docker & Nginx

Build and deploy microservices using Docker and manage them via Nginx reverse proxy. Includes services for authentication, products, and user data.

Monitoring with Prometheus & Grafana

Set up system monitoring and alerting for infrastructure using Prometheus, Grafana dashboards, and Alertmanager with Slack/email notifications.

Kubernetes Deployment with Helm

Deploy containerized apps to a Kubernetes cluster using Helm charts. Includes rolling updates, autoscaling, and ingress configuration.

Master DevOps Skills & Earn Your DevOps Certificate

Earn a respected certification jointly from EduPrajna and leading academic institutions

Learn from Top Faculty & Top industry experts

Get the Placement assistance and visibility with our 100+ Hiring Partners

Artificial Intelligence & Machine Learning Certification Training

In Collaboration With

Artificial Intelligence & Machine Learning

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