10-17-2024, 07:34 AM
![[Image: 359020115_tuto.jpg]](https://img87.pixhost.to/images/599/359020115_tuto.jpg)
2.51 GB | 00:10:09 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Introduction & Course Prerequisites (41.74 MB)
2 -IMPORTANT note and Course Structure (44.89 MB)
1 -GenAI Application Cost Optimization - Right-sizing & Spot Instances & Containers (69.01 MB)
2 -Some Techniques to Reduce Cost (70.72 MB)
3 -Choosing the Right Cloud Platform and Pricing Optimization Summary (12.54 MB)
1 -Advanced Topics in GenAI App Architecture - XAI Full Overview (77.55 MB)
2 -MLOps and CICD Full Overview and Importance (63.96 MB)
3 -Responsible AI and Ethical Considerations for GenAI Applications (29.27 MB)
4 -Emerging Trends - Full Overview (91.25 MB)
1 -Next Steps (57.13 MB)
1 -GenAI Deep Dive - What is It and Example of GenAI - Real-life Applications (100.83 MB)
2 -The Evolution of AI Architecture - Traditional to Generative AI - Overview (85.02 MB)
3 -GenAI Key Concepts Variational Autoencoders and Generative Adversarial Networks (86.86 MB)
4 -Variational Autoenconders (VAEs) and Generative Adversarial Networks (LLM) (43.24 MB)
5 -Benefits and Challenges of Building GenAI Applications (67.76 MB)
1 -Check in (20.96 MB)
2 -The LGPL Architecture Deep Dive - Why GenAI Application Architecture is a Must (61.14 MB)
3 -The LGPL Architecture and Layers - Overview (49.85 MB)
4 -Gates (46.45 MB)
5 -Pipes (41.43 MB)
6 -Loops and Bringing it All Together - The Whole LPGL Architecture Overview (82.98 MB)
7 -Hands-on - Simple Gates Simulation - Python console Program (45.51 MB)
8 -Hands-on - Simulate Feedback Loop (38.34 MB)
9 -Hands-on - Full Simulation Including all Architecture Layers (89.58 MB)
1 -Building Scalable GenAI Applications - Introduction & Infrastructure Selection (174.77 MB)
2 -Containerization & Docker Crash Course (131.94 MB)
3 -Microservices vs Monolith Architecture (53.3 MB)
4 -Load Balancing and Fault Tolerance working Together - Full overview (94.84 MB)
5 -Load Balancing and Fault Tolerance - Full Overview (35.21 MB)
1 -Leveraging the Cloud for Scalable GenAI Applictions - Introduction (12.81 MB)
2 -The Cloud Advantage for GenAI Applications (69.72 MB)
1 -Building Resilient GenAI Applications - Error Handling & Exception Management (36.98 MB)
2 -Error Logging - Cascading Failure Prevention & Retry Logic for Corrective Action (23.64 MB)
3 -Monitoring and Logging and Alerting (50.25 MB)
4 -Diagrams for Monitoring - Log Processing and Alert Systems (45.22 MB)
1 -Disaster Recovery and High Availability Strategies - Introduction to DR (30.89 MB)
2 -High Availability and Disaster Recovery in Action - AWS Support for DR and HA (80.82 MB)
3 -Case Study 1 - Realtime Trading System - Full GenAI Application Architecture (149.88 MB)
4 -Case Study 2 - Your Turn - GenAI System for Diagnosis Recommendation System (15.19 MB)
1 -Security Threats in GenAI Applications - Model Hijacking and Privacy Leakage (58.63 MB)
2 -Deepfakes - Evasion Attacks - Insider Threats - Adversarial Attack (66.71 MB)
3 -Adversarial Attacks Solution - XAI (Explainable AI) (25.95 MB)
1 -Introduction & Course Prerequisites (41.74 MB)
2 -IMPORTANT note and Course Structure (44.89 MB)
1 -GenAI Application Cost Optimization - Right-sizing & Spot Instances & Containers (69.01 MB)
2 -Some Techniques to Reduce Cost (70.72 MB)
3 -Choosing the Right Cloud Platform and Pricing Optimization Summary (12.54 MB)
1 -Advanced Topics in GenAI App Architecture - XAI Full Overview (77.55 MB)
2 -MLOps and CICD Full Overview and Importance (63.96 MB)
3 -Responsible AI and Ethical Considerations for GenAI Applications (29.27 MB)
4 -Emerging Trends - Full Overview (91.25 MB)
1 -Next Steps (57.13 MB)
1 -GenAI Deep Dive - What is It and Example of GenAI - Real-life Applications (100.83 MB)
2 -The Evolution of AI Architecture - Traditional to Generative AI - Overview (85.02 MB)
3 -GenAI Key Concepts Variational Autoencoders and Generative Adversarial Networks (86.86 MB)
4 -Variational Autoenconders (VAEs) and Generative Adversarial Networks (LLM) (43.24 MB)
5 -Benefits and Challenges of Building GenAI Applications (67.76 MB)
1 -Check in (20.96 MB)
2 -The LGPL Architecture Deep Dive - Why GenAI Application Architecture is a Must (61.14 MB)
3 -The LGPL Architecture and Layers - Overview (49.85 MB)
4 -Gates (46.45 MB)
5 -Pipes (41.43 MB)
6 -Loops and Bringing it All Together - The Whole LPGL Architecture Overview (82.98 MB)
7 -Hands-on - Simple Gates Simulation - Python console Program (45.51 MB)
8 -Hands-on - Simulate Feedback Loop (38.34 MB)
9 -Hands-on - Full Simulation Including all Architecture Layers (89.58 MB)
1 -Building Scalable GenAI Applications - Introduction & Infrastructure Selection (174.77 MB)
2 -Containerization & Docker Crash Course (131.94 MB)
3 -Microservices vs Monolith Architecture (53.3 MB)
4 -Load Balancing and Fault Tolerance working Together - Full overview (94.84 MB)
5 -Load Balancing and Fault Tolerance - Full Overview (35.21 MB)
1 -Leveraging the Cloud for Scalable GenAI Applictions - Introduction (12.81 MB)
2 -The Cloud Advantage for GenAI Applications (69.72 MB)
1 -Building Resilient GenAI Applications - Error Handling & Exception Management (36.98 MB)
2 -Error Logging - Cascading Failure Prevention & Retry Logic for Corrective Action (23.64 MB)
3 -Monitoring and Logging and Alerting (50.25 MB)
4 -Diagrams for Monitoring - Log Processing and Alert Systems (45.22 MB)
1 -Disaster Recovery and High Availability Strategies - Introduction to DR (30.89 MB)
2 -High Availability and Disaster Recovery in Action - AWS Support for DR and HA (80.82 MB)
3 -Case Study 1 - Realtime Trading System - Full GenAI Application Architecture (149.88 MB)
4 -Case Study 2 - Your Turn - GenAI System for Diagnosis Recommendation System (15.19 MB)
1 -Security Threats in GenAI Applications - Model Hijacking and Privacy Leakage (58.63 MB)
2 -Deepfakes - Evasion Attacks - Insider Threats - Adversarial Attack (66.71 MB)
3 -Adversarial Attacks Solution - XAI (Explainable AI) (25.95 MB)
Screenshot
![[Image: sfamWkly_o.jpg]](https://images2.imgbox.com/c5/75/sfamWkly_o.jpg)
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