Welcome To CIIT Training Institute
Learn Latest Dot Net Full Stack Developer With Azure DevOps & AI Integration

To become a modern .NET Full Stack Developer with Azure DevOps and AI integration, CIIT Provide a combination of core development skills, cloud expertise, DevOps practices, and AI/ML knowledge with good approach involves structured learning, hands-on projects

Get Your Dream IT Job Just in 6 Months

To become a .NET full-stack developer with Azure and AI integration, focus on mastering .NET Core, Azure cloud services, and integrating AI capabilities using Azure AI tools and libraries.

CIIT's .NET with Azure course offers an ideal opportunity for individuals passionate about building projects from the ground up. CIIT serves as an excellent platform for those aspiring for boundless opportunities in the IT industry as a Dot Net Full Stack Developer with Azure DevOps.

Course Duration:
9 Months
Training Mode:
Classroom & Online
Batches Available:
Weekdays/Weekends
Language:
English , Hindi, Marathi
Course Duration : 9 Months
Training Mode : Classroom & Online
Batches Available : Weekdays/Weekends
Language : English , Hindi, Marathi
Enquiry Now

What can you accomplish at the end of training?

Upon completing training in .NET Core with DevOps and AI, you can engineer and manage the entire lifecycle of intelligent, cloud-native software systems. You will be able to build automated, self-healing CI/CD pipelines that integrate machine learning models, leading to faster, more reliable, and more secure software delivery.

At the end of the training, you will have the skills to accomplish the following:

  • Design and build robust .NET Core applications

    Develop high-performance, cross-platform applications and microservices using C#, ASP.NET Core, and Entity Framework Core.

  • Automate the software delivery lifecycle

    Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Azure DevOps, Jenkins, or GitHub Actions to automate building, testing, and deployment processes.

  • Implement Infrastructure as Code (IaC)

    Automate the provisioning and management of cloud infrastructure (on platforms like Azure, AWS, or GCP) using tools such as Terraform or Ansible.

  • Integrate AI and Machine Learning (ML) models

    Incorporate AI and ML functionalities into .NET applications and use machine learning for tasks like predictive monitoring, automated root cause analysis, and smart resource optimization (AIOps and MLOps).

  • Develop intelligent monitoring and self-healing systems

    Set up AI-driven monitoring tools that detect anomalies, predict failures, and automatically execute remedial actions, reducing downtime and manual intervention.

  • Enhance application security

    Integrate security practices throughout the development lifecycle (DevSecOps), leveraging AI for continuous vulnerability scanning and threat detection.

  • Lead collaborative, cross-functional teams

    Apply the cultural philosophies of DevOps to foster better communication and shared responsibility between development, operations, and data science teams.

  • Optimize cloud resource management

    Use AI-powered insights to ensure efficient utilization and scaling of cloud resources, leading to cost optimization.


Take the next step to become a job-ready Full-Stack .NET Developer with Azure and AI ML today!


Weekdays (Mon-Fri) - 9 Months

Weekends (Sat & Sun) - 12 Months

(5/5 Rating)
devops
Course Information

Batches Available: Weekdays/Weekends

Training Mode: Classroom & Online

Language: English, Hindi, Marathi

100% Money Back Guarantee

5-Day Money-Back Guarantee : Till date We have trained 10000+ candidates including under graduates,fresheres and working professionals with expert knowledge. All are satiesfied with our training quality. So we are giving guarantee to all those who want to join our institute that if you're disappointed for whatever reason, you'll get your 100% refund. We won't make you invoke any rules or conditions – if you're not satisfied within your first 5 days then we'll refund you without any excuse.

Our Alumini works at Top MNCs & Indian Companies. So Can You!

Core Benefits of .NET + Azure + AI/ML
Unified Developer Experience

Developers can leverage their existing C# skills and familiar Visual Studio tooling to build, train, and deploy AI/ML models without needing to switch to Python-based tech stacks, thanks to resources like ML.NET and the Semantic Kernel SDKs.

High Performance and Scalability

.NET Core is optimized for performance, which is crucial for resource-intensive AI/ML workloads. Combined with Azure's auto-scaling and serverless options (like Azure Functions and Kubernetes Service), applications can handle massive data processing and fluctuating demands efficiently and cost-effectively.

Seamless Cloud Integration

.NET Core is cloud-native, designed to integrate effortlessly with Azure services. This simplifies deployment, management, and monitoring of AI solutions in the cloud or at the edge.

Greater Project Ownership

Leverage Azure's cloud-native services for features like serverless computing, microservices, and managed databases.

Access to Rich Azure AI Ecosystem

Developers gain immediate access to a wide range of powerful, pre-built AI models and APIs (Azure AI Services like Vision, Speech, Language, and Azure OpenAI Service) and end-to-end ML platforms (Azure Machine Learning). This significantly accelerates development time.

Faster Time-to-Market

Developers can rapidly prototype and deploy AI solutions using pre-built models and integrated tools, significantly reducing development time and accelerating innovation.

Robust Security & Compliance

Leverage Azure's enterprise-grade security features (data encryption, access controls, compliance certifications like GDPR and HIPAA) to build secure and trustworthy AI applications.

Innovation & Competitive Edge

Rapidly prototype and deploy innovative solutions using cutting-edge technologies like Generative AI and LLMs, keeping businesses ahead of the curve.

Average Salaries in the United States
Entry-Level (0-2 years)

$80,000 - $120,000+

Mid-Level (3-7 years)

$120,000 - $180,000

Senior/Lead (7+ years, Architect roles)

$150,000 - $250,000+

Specific roles leveraging these skills include:

Azure AI Engineer

Average salaries can range from $140,000 to over $212,500 annually, especially in tech hubs like San Francisco or New York.

AI Architect

These leadership roles often command the highest pay, with potential to exceed $250,000 annually, depending on the company and location.

Average Salaries in India
Entry-Level (0-2 years)
₹6 - ₹12 LPA
Mid-Level (3-5 years)
₹12 - ₹25 LPA
Senior/Lead (5+ years, Architect roles)
₹25 - ₹50+ LPA, potentially up to ₹1 Crore in top companies
Specific roles include:
Azure ML specialist

Employees with this skill average around ₹20.9 LPA, with top earners reaching over ₹36 LPA.

AI Developer

The average salary is approximately ₹29.1 LPA, ranging from ₹18.2 LPA to over ₹66 LPA for top performers.

AI Architect

Can earn between ₹25 LPA and ₹60 LPA or more.

Key Factors Influencing Salary
Specific AI/ML skills

Expertise in high-demand areas like Generative AI, Large Language Models (LLMs), MLOps, and NLP can significantly boost earning potential.

Certifications

Obtaining certifications such as the Microsoft Certified: Azure AI Engineer Associate can increase salaries by an estimated 10-20%.

Company Type

Product-based tech giants (like Microsoft or Amazon) and large consulting firms often offer significantly higher salaries and additional benefits (stock options, bonuses) compared to smaller service-based companies.

Location

Major tech hubs (e.g., San Francisco, Seattle, London, Bangalore, Pune) consistently offer higher salaries due to increased demand and cost of living.

Who can learn this course?

The future of .Net development is exceptionally bright, with a strong focus on cross-platform capabilities and cloud-based solutions.

  • Existing .NET/C# Developers :

    This is the most direct audience. Developers already proficient in C# and the .NET framework can extend their skill sets to build intelligent applications using familiar tools and seamlessly integrate with Azure AI services and the Semantic Kernel SDKs.

  • Software Developers :

    Developers using other programming languages (like Python or Java) who want to expand their expertise into the Microsoft ecosystem or leverage .NET's performance advantages for their AI workloads.

  • AI Engineers & Data Scientists :

    Professionals focused on building, training, and deploying machine learning models can use Azure Machine Learning and the .NET platform for deploying and integrating those models into enterprise-level applications

  • Cloud Professionals (Azure Administrators & Architects) :

    Individuals focused on cloud infrastructure and solutions architecture can learn how to design and manage scalable, secure, and cost-effective AI solutions within the Azure environment

  • DevOps Engineers :

    Those responsible for the continuous integration and deployment (CI/CD) pipelines can specialize in MLOps (Machine Learning Operations), automating the deployment and monitoring of AI models and applications on Azure.

  • Students & Career Changers :

    Individuals with a foundational understanding of computer science and basic programming principles can start with fundamental certifications (like Azure AI Fundamentals or Azure Fundamentals) to enter the growing field of AI and cloud computing.

Course Highlights:

  • Core Backend Development (.NET & C#) :

    The foundation of the stack focuses on high-performance server-side logic using Microsoft's latest frameworks
    • C# Mastery :
      Covers advanced OOP principles, asynchronous programming (Async/Await), LINQ, and collections.
    • ASP.NET Core Web MVC :
      Building secure, scalable ASP.NET Core Web MVC application using .NET 8/9/10.
    • ASP.NET Core Web API :
      Building secure, scalable RESTful services and microservices architecture using .NET 8/9/10.
    • Entity Framework Core :
      Master database management with Code-First and Database-First approaches, migrations, and performance tuning.
    • Security :
      Implementation of JWT Authentication, OAuth2, and Azure AD for identity management.

  • Modern Frontend Frameworks :

    Building responsive and interactive user interfaces that consume .NET services.
    • Framework Options :
      Proficiency in Angular (v20+) or React (v18+), including state management (Redux/RxJS) and routing.
    • Blazor Integration :
      Using C# for frontend development with Blazor WebAssembly to share logic between client and server.
    • UI/UX Basics :
      Foundation in HTML5, CSS3, JavaScript, and responsive design with Bootstrap or Tailwind CSS.

Practical Learning & Career Support

  • CIIT's Training on Hands-On Projects :

    Extensive practical training through multiple real-world projects and a capstone project to build a strong portfolio.

  • Job Assistance :

    Includes career support services such as resume building, mock interviews, and placement assistance.

Dot Net Career Path
Combining expertise in .NET, Azure, and AI/ML offers substantial career benefits, including high demand, diverse job opportunities, increased earning potential, and future-proofing your skills in a rapidly evolving tech landscape.
High Demand and Job Opportunities
  1. Growing Need for AI Integration :

    Companies across almost every industry (healthcare, finance, retail, manufacturing) are integrating AI into their operations to improve efficiency and make better decisions, driving the need for developers who can bridge traditional application development with machine learning capabilities.

  2. "Full-Stack" AI Developers :

    The traditional developer role has evolved. Employers increasingly seek engineers who can handle the full lifecycle of an application—from front-end to back-end, cloud deployment, and emerging tech like AI/ML.

  3. Diverse Job Roles :

    A combined skill set opens doors to various specialized and high-value roles, including:

    • AI/ML Engineer
    • Azure AI Engineer
    • .NET AI Lead/Architect
    • Data Scientist (specializing in deployment on Azure ML)
    • Cloud Solution Architect
    • MLOps Engineer (specializing in streamlining model management with Azure MLOps tools)

Increased Earning Potential
  1. The specialized nature of these skills translates into a significant salary advantage.
    • Higher Salaries :

      Professionals combining .NET, Azure, and AI/ML expertise generally command higher salaries compared to developers with a single specialization.

    • Salary Hike Potential :

      Certifications like Azure AI Engineer or Data Scientist can often lead to a 10-25% salary increase.

    • Competitive Edge :

      With 95% of Fortune 500 companies using Azure, the demand for certified professionals is high, giving them a competitive advantage in the job market.

Career Growth and Future-Proofing
  1. The rapid pace of innovation in AI and cloud computing means skills in these areas will remain relevant for the foreseeable future
    • Alignment with Industry Trends :

      Learning these technologies ensures your skills align with current and future industry demands for intelligent, data-driven solutions.

    • Versatility :

      The ability to build, deploy, and manage applications that leverage powerful AI services (like Generative AI via Azure OpenAI, computer vision, NLP, etc.) makes a professional a valuable asset across various business functions.

    • Global Opportunities :

      Microsoft certifications and expertise are recognized globally, potentially opening up international job opportunities and the flexibility to work in various locations and industries

In essence, a skill set combining .NET, Azure, and AI/ML allows for significant career acceleration, providing the technical foundation to work on cutting-edge projects that shape the future of technology.

KEY Features that Makes Us Better and Best Campus For You

Expert Trainers

Training will be provided by Industry experts with extensive experience

State-of-the-Art Infrastructure

Modern facilities and tools for an engaging learning experience.

Comprehensive Curriculum

In-depth courses designed to meet current industry standards and trends.

Flexible Schedules

Options for weekday, weekend, and online batches to suit your convenience.

Personalized Attention

Small batch sizes for individualized mentoring and guidance.

100% Real time Project Training

Real-world actual industry projects and practical sessions to become experienced.

100% Placement Assistance

Dedicated support to help you secure your dream job.

Affordable Fees

Quality training at competitive prices with flexible payment options.

Lifetime Access to Learning Materials

Revisit course content anytime for continuous learning

Industry-Recognized Certifications

Globally accepted credentials to boost your career prospects.

Diverse Course Offerings

A wide range of programs in IT, business, design, and more.

Our Success Lies In Our Learner's, Success Stories

Explore our student's experiences and discover how we've helped them achieve their goals through excellence and dedication.


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