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MASTER GENERATIVE AI ON MICROSOFT AZURE: COMPREHENSIVE IN-DEPTH TRAINING
The “Master Generative AI On Microsoft Azure” Training Provides An Immersive Experience In The World Of Generative AI. Tailored Specifically For The Azure Platform, Participants Will Delve Deep Into Generative Models, Leveraging Azure’s Powerful Tools And Services. From Understanding The Nuances Of GANs And VAEs To Deploying Scalable AI Solutions With Azure Kubernetes Service, This Course Promises Both Depth And Breadth.
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Anil Bidari
YOUR EXPERIENCED MENTOR
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
- Instructor: Anil Bidari
- Participants: 1,550 Students
- Study Lecture : 9 Lectures
- Time Duration : 1 Day
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
COURSE OBJECTIVE
- Understand The Foundational Concepts And Significance Of Generative AI.
- Navigate And Leverage Microsoft Azure’s AI & Machine Learning Services Tailored For Generative AI.
- Build, Train, And Deploy Generative Models Using Azure Machine Learning Studio And Azure Databricks.
- Address Common Challenges In Generative AI And Implement Best Practices For Model Optimization.
- Integrate Various Azure Services To Enhance And Scale Generative AI Solutions For Real-World Applications.
- Certification for proficiency in Generative AI on Microsoft Azure, empowering participants with comprehensive skills for AI innovation.
COURSE DESCRIPTION
Unveil The Transformative Capabilities Of Generative AI Within The Microsoft Azure Ecosystem In This Comprehensive Training Course. Participants Will Embark On A Hands-On Journey, Exploring Foundational Generative Models, Azure-Specific AI Tools, And Real-World Applications. With A Blend Of Expert-Led Lectures And Practical Labs, Learners Will Gain Unmatched Expertise In Azure-Based Generative AI Solutions.
COURSE SUMMARY
“Master Generative AI on Microsoft Azure: Comprehensive In-Depth Training” provides thorough education on integrating Generative AI with Azure cloud services. Participants gain hands-on experience in model deployment, optimization, and ethical considerations. Collaboration with Azure experts ensures proficient and responsible AI deployment, empowering mastery in Generative AI on Microsoft Azure.
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Course Outline
Registration And Welcome Breakfast
Introduction To Generative AI
– Definition And Significance Of Generative AI.
– An Overview Of Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), And Other Generative Models.
– Potential Applications And Impact Of Generative AI.
Introduction To Microsoft Azure Cloud
– Overview Of Microsoft Azure.
– Highlight Of Azure’s AI & Machine Learning Services.
Hands-On Lab 1: Setting Up Azure For Generative AI Workloads
– Initiating An Azure Account And Setting Up Resource Groups.
– Introduction To Azure Machine Learning Service And Its Relevance To AI/ML.
– Configurations Tailored For Generative AI Workloads.
Morning Break
Dive Into Azure Generative AI Tools
– Azure Machine Learning Studio: Model Training And Deployment.
– Azure Databricks: Distributed Data Analytics And ML Training.
– Azure Cognitive Services: Pre-Trained AI Services.
Hands-On Lab 2: Building Generative Models With Azure ML Studio
– Setting Up The Azure ML Environment.
– Training A GAN Model For Data Generation.
– Visualizing And Interpreting Generated Data.
Lunch Break
Advanced Generative AI Techniques In Azure
– Leveraging Azure Databricks For Large-Scale Generative Model Training.
– Integration Of Azure Blob Storage For Managing Generated Data.
– Custom Generative Model Deployment With Azure Kubernetes Service.
Hands-On Lab 3: Distributed Generative AI Training With Azure Databricks
– Setting Up A Databricks Workspace.
– Parallel Training Of Generative Models.
– Optimizing And Fine-Tuning Using Distributed Resources.
Afternoon Break
Challenges And Solutions In Generative AI On Azure
– Addressing Issues Like Mode Collapse, Overfitting, Etc.
– Azure Tools And Resources For Troubleshooting Generative AI Challenges.
– Best Practices For Scalable And Efficient Generative AI Solutions.
Hands-On Lab 4: Deployment And Scaling With Azure Kubernetes Service
– Packaging Generative AI Models For Deployment.
– Setting Up Azure Kubernetes Clusters.
– Scaling And Monitoring Generative AI Applications.
Q&A, Feedback, And Closing Remarks
End Of Training
This Course Offers A Holistic Approach To Generative AI Within The Microsoft Azure Ecosystem. Adjust The Pacing And Depth Based On The Participants’ Prior Knowledge, And Always Incorporate Feedback After Each Hands-On Lab To Ensure Optimal Understanding.