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Azure Machine Learning Master AI & Data Science in the Cloud

In the era of artificial intelligence, Azure Machine Learning (Azure ML) stands as one of the most powerful cloud-based platforms for building, training, and deploying machine learning models at scale. Our Azure Machine Learning Training program is designed to equip you with the skills and knowledge to leverage Azure ML for real-world data science and AI solutions.

Who Can Benefit from This Training?

Why Choose Our Azure ML Training?

  • Expert Trainerswith real-world Azure ML experience

  • Hands-On Learningthrough guided labs and case studies

  • Industry-Relevant Curriculumaligned with Microsoft certifications

  • Flexible Learning Modes– online or in-person

  • Career Support & Guidance – Resume building, mock interviews, and job assistance to boost your career opportunities.

  • Real-Time Projects – Work on practical projects that simulate real industry challenges in Azure Machine Learning.

  • Lifetime Access to Learning Resources – Get continuous access to course materials, recordings, and updates.


Artificial Intelligence (AI) has moved beyond theory to become a key driver of innovation in software development. For developers, AI is not just a tool—it’s a way to enhance applications, create intelligent systems, and solve complex problems that were previously impossible or inefficient.

  • Month 1: AI & Machine Learning Foundations

    • Month 2: Deep Learning & Neural Networks
    • Month 3: NLP, AI Tools & Deployment

    By the end of this 3-month program, developers will be able to:

    • Build AI/ML models using Python
    • Work with deep learning frameworks (TensorFlow, PyTorch)
    • Apply AI to real-world problems in NLP, CV, and predictive analytics
    • Deploy AI models as web applications or APIs
    • Complete a full AI project from scratch
  • Month 1: Python & Programming Foundations for AI

    • Month 2: Mathematics for AI & Data Handling
    • Month 3: Machine Learning Fundamentals
    • Month 4: Deep Learning & Neural Networks
    • Month 5: Natural Language Processing (NLP) & Advanced AI
    • Month 6: AI Model Deployment & Capstone Project

    Learning Outcomes:

    By the end of 6 months, Developers will Learn & Execute:

    • Master Python programming for AI applications
    • Implement machine learning and deep learning algorithms
    • Work on NLP and computer vision projects
    • Deploy AI solutions in real-world applications
    • Build and present a full-scale capstone project
  • Month 1-2: Foundations & Programming for AI
  • Month 3-4: Machine Learning Fundamentals
  • Month 5-6: Advanced Machine Learning & Feature Engineering
  • Month 7-8: Deep Learning & Neural Networks
  • Month 9: Natural Language Processing (NLP)
  • Month 10: Reinforcement Learning & AI Applications
  • Month 11: AI Deployment & Cloud Integration
  • Month 12: Capstone Project

Training Formats Available

We offer flexible training formats classroom, live online, or self-paced designed to fit your schedule while ensuring quality and convenience.

Online Live Classes

Self Paced Learning

Corporate Workshops

Certification

Industry-Recognized Credential – Receive a Prompt Engineering Pro Certificate upon successful completion of the course.
Career Advantage – Showcase your expertise to potential employers and enhance your professional credibility.
Skill Validation – The certificate validates your hands-on learning, practical projects, and mastery of prompt engineering concepts.
Shareable Achievement – Add your certification to LinkedIn, resume, or portfolio to stand out in the job market.

What You'll Master

Our training covers both the fundamentals and advanced features of Azure Machine Learning, including