UpSkill Path

AIOps

Master end-to-end AI lifecycle automation with Techzit Solutions  ALOps Training in Chennai. Learn to operationalize and manage AI systems using tools like TensorFlow, MLflow, Kubernetes, Airflow, and AWS through hands-on projects and expert-led sessions. This program covers AI deployment, monitoring, and continuous optimization, preparing you for in-demand roles such as ALOps Engineer, AI Operations Specialist, and AI Automation Engineer, with certification and placement support included.

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Course overview

The ALOps Master Program at Techzit Solutions is designed to equip beginners and professionals with the skills to automate, optimize, and manage AI workflows efficiently across the enterprise. This program bridges the gap between Artificial Intelligence and Operations, focusing on deploying, monitoring, and scaling AI systems using cutting-edge automation techniques.

Through a combination of theory, hands-on labs, and real-world projects, learners gain expertise in AI model management, CI/CD pipelines, cloud integration, and intelligent automation using tools such as Python, TensorFlow, Kubernetes, MLflow, Azure AI, AWS SageMaker, and Airflow. The curriculum emphasizes real-world AI lifecycle automation, governance, and continuous learning systems for production-grade AI solutions.

Whether you are a Data Scientist, AI Engineer, DevOps Professional, or Automation Specialist, this program prepares you for high-demand roles such as ALOps Engineer, AI Operations Specialist, AI Automation Engineer, and AI Infrastructure Architect, empowering you to build scalable, secure, and continuously improving AI-driven systems.

  • Overview of AIOps 
  • Key drivers 
  • Difference between traditional IT operations and AIOps
  • Role of AI, ML, and automation 
  • Core components of an AIOps ecosystem
  • Industry trends and future outlook of AIOps
  • AI/ML development lifecycle
  • Data collection, preprocessing, and feature engineering
  • Model training, evaluation, and versioning
  • Model deployment and continuous integration
  • Collaboration between Data Scientists, DevOps, and Operations teams
  • Introduction to key tools and platforms.
  • Architecture and building blocks of the AIOps framework
  • Event correlation, anomaly detection, and root cause analysis
  • Log analytics, predictive insights, and incident management
  • Automating IT operations using AIOps pipelines
  • Integration of AIOps with ITSM (ServiceNow, Jira, etc.)
  • Performance monitoring and alert automation
  • Real-world implementations of AIOps 
  • AIOps in cloud infrastructure monitoring (AWS, Azure, GCP)
  • AIOps for predictive maintenance and anomaly detection
  • AIOps in cybersecurity and threat intelligence
  • Business impact analysis 
  • Discussion on emerging tools like Dynatrace, Splunk, Moogsoft, and IBM Watson AIOps
  • Understanding the AI closed-loop system architecture
  • Challenges in data accuracy, integration, and scalability
  • Managing continuous feedback loops in AI systems
  • Bias detection, explainability, and model drift issues
  • Handling model retraining and governance automation
  • Technical and organizational challenges in AIOps adoption
  • Data silos, integration complexity, and skill gaps
  • Building an AIOps roadmap for enterprise transformation
  • Future trends: AIOps with Generative AI and autonomous operations
  • Preparing for AIOps-driven digital transformation
  • Capstone Project: Design and implement an AIOps solution for a real-world IT environment

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Reasons to join this Course

Average Salary

8LPA

Job
Growth

17%

Job
Offers

2026-2.5k+

For urgent help

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Phone Number:

+91 9884442684

Our Address:

1st Main Rd, Phase-2, Thirumalai Nagar Annexe, Perungudi, Chennai, Tamil Nadu 600096

Core of AI Ops

End-to-End AI Workflow Automation

Master the art of automating every stage of the AI lifecycle — from model training and validation to deployment and monitoring. Learn to streamline AI workflows to ensure faster, more efficient, and reliable AI model delivery across environments.

Intelligent Model Deployment and Scaling

Gain hands-on experience deploying AI models on scalable infrastructure using tools like Kubernetes, Docker, and MLflow. Learn to manage version control, continuous integration, and delivery (CI/CD) pipelines to deploy AI models seamlessly in production.

AI Monitoring and Continuous Learning Systems

Understand how to monitor deployed AI models for accuracy, drift, and performance degradation. Learn to build continuous learning systems that automatically retrain and optimize models based on real-world data feedback.

AI Governance, Compliance, and Security

Develop a strong understanding of governance frameworks for managing AI responsibly. Learn to implement model traceability, explainability, versioning, and compliance with security and ethical AI standards.

Cloud-Based AI Operations

Work with leading cloud platforms like AWS, Azure, and Google Cloud to build, deploy, and manage automated AI pipelines. Gain practical exposure to cloud-native tools such as SageMaker, Vertex AI, and Azure ML Studio for enterprise-grade AI operations.

Real-World AI Automation Projects

Apply ALOps principles in live, industry-based projects covering AI deployment, pipeline automation, and monitoring. Gain real-time experience in solving business problems using automated AI solutions built for scalability and resilience.

Who Can Learn

Graduates

Recent graduates holding a bachelor’s degree in any discipline, eager to launch their careers with in-demand tech skills.

Working professionals

Professionals from any industry looking to upskill, pivot into tech, or enhance their current role with web development expertise.

Career relaunchers

Individuals re-entering the workforce after a career break, ready to refresh their skills and explore new opportunities in tech.

AI Ops Certification Training in Chennai, Tenkasi

Upon completing the ALOps Program at Techzit Solutions, students receive an industry-recognized certification backed by hands-on project experience. This credential validates your expertise in automating, deploying, and managing AI models across production environments using tools like TensorFlow, Kubernetes, MLflow, Airflow, and AWS. It strengthens your resume and enhances your employability for roles such as ALOps Engineer, AI Operations Specialist, and AI Automation Engineer, proving your ability to build, scale, and maintain intelligent AI systems with one of the best training institutes.

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Question & Answers

The AIOps (Artificial Intelligence for IT Operations) course at Techzit Solutions focuses on using AI, Machine Learning, and automation to enhance IT operations. You’ll learn how to build intelligent systems that can automatically detect, diagnose, and resolve issues in complex IT environments.

This course is ideal for IT professionals, DevOps engineers, system administrators, cloud engineers, and data professionals who want to upskill in AI-driven automation and IT operations. Beginners with basic knowledge of IT infrastructure and AI concepts can also enroll.

You’ll learn how to automate IT operations using AI, build predictive monitoring systems, manage data pipelines, and implement AIOps frameworks for real-time anomaly detection, incident management, and performance optimization.

Basic knowledge of cloud platforms, machine learning, and DevOps is helpful but not mandatory. The course begins with foundational topics and progresses to advanced AIOps automation concepts.

You’ll work on real-world projects, including predictive infrastructure monitoring, automated incident response, AI-based anomaly detection, and closed-loop automation systems for IT operations.

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