12:51

Module 6: GCP Security Best Practices Adopted By Google | GCP Specifics for CISSP | Cloud Security

12:19

Module 5: Google Cloud Security | GCP Specifics for CISSP | Cloud Security

09:46

Module 4: 5 Key Areas of Cloud Security | GCP Specifics for CISSP | Cloud Security

05:52

Module 3: Key Technical Skills for Cloud Engineers | GCP Specifics for CISSP | Cloud Security

05:31

Module 2: Types of Cloud Security | GCP Specifics for CISSP | Cloud Security

14:39

Module 11: Role of Security in Development | Azure Specifics for CISSP | Cloud Security

05:01

Module 10: Applications Attacker Opportunities | Azure Specifics for CISSP | Cloud Security

08:52

Module 9: Azure Sentinel & Security Center | Azure Specifics for CISSP | Cloud Security

04:17

Module 8: Monitor for Attacks and Security Operations | Azure Specifics for CISSP | Cloud Security

07:43

Module 7: PaaS and IaaS Application | Azure Specifics for CISSP | Cloud Security

08:05

Module 6: Reference Enterprise Design | Azure Specifics for CISSP | Cloud Security

12:30

Module 5: Reference Design | Azure Specifics for CISSP | Cloud Security

13:04

Module 4: Administration | Azure Specifics for CISSP | Cloud Security

07:58

Module 3: Best Practices | Azure Specifics for CISSP | Cloud Security

06:57

Module 2: Secure Score | Azure Specifics for CISSP | Cloud Security

21:59

Module 5: Mastering Infrastructure Security & Data Privacy | AWS Specifics for CISSP

04:36

Module 6: Mastering Incident Response in AWS | AWS Specifics for CISSP

14:46

Module 3: Mastering AWS Security Solutions | AWS Specifics for CISSP

08:47

Module 4: Mastering AWS DC, Logging, Auditing | AWS Specifics for CISSP

12:38

Module 2: Understanding AWS Responsibility Model | AWS Specifics for CISSP

01:55

Module 9: Example - 2 Creating a weather bot in RASA | RASA- AI Conversational Network | NLP

03:47

Module 8: Example 1 - Information collecting bot in Rasa | RASA- AI Conversational Network | NLP

07:06

Module 7: Understanding file structure of RASA | RASA- AI Conversational Network | NLP

03:31

Module 6: Initializing RASA | RASA- AI Conversational Network | Natural Language Processing

04:31

Module 5: Architecture of RASA | RASA- AI Conversational Network | Natural Language Processing

05:17

Module 4: Introduction to RASA | RASA- AI Conversational Network | Natural Language Processing

07:10

Module 3: Benefits & uses of Chatbots | RASA AI Conversational Network | Natural Language Processing

08:12

Module 2: Working and development of an AI-powered chatbot | RASA- AI Conversational Network | NLP

28:12

Module 7: Twitter Sentiment Analysis-II | Social Media Analysis | Natural Language Processing

09:30

Module 6: Twitter Sentiment Analysis - I | Social Media Analysis | Natural Language Processing

13:47

Module 5: Application and Analysis | Social Media Analysis | Natural Language Processing

08:49

Module 4: Semantic analysis and NLP Toolkits | Social Media Analysis | Natural Language Processing

14:48

Module 3: Social Network | Social Media Analysis | Natural Language Processing

08:34

Module 2: GSM Analytics Market | Social Media Analysis | Natural Language Processing

08:30

Module 5: Fine tuning a Pretrained model | Hugging Face Transformers | Natural Language Processing

09:22

Module 4: Saving and building custom models| Hugging Face Transformers | Natural Language Processing

04:37

Module 6: Example: Hugging Face Transformer | Machine Translation | Natural Language Processing

03:27

Module 5: Machine vs Human translation | Machine Translation | Natural Language Processing

05:47

Module 4: Benefits and advantages of MT | Machine Translation | Natural Language Processing

11:40

Module 3: Types of machine translation | Machine Translation | Natural Language Processing

03:09

Module 2: Need of Machine translation | Machine Translation | Natural Language Processing

12:23

Module 3: Autoclass and Autotokenizer | Hugging Face Transformers | Natural Language Processing

16:48

Module 2: Pipelines | Hugging Face Transformers | Natural Language Processing

11:25

Module 6: Neo4j Examples | Neo4j | Big Data Technology

08:33

Module 5: Real-life uses of Neo4j | Neo4j | Big Data Technology

14:09

Module 4: Advantages and Features of Neo4j | Neo4j | Big Data Technology

07:04

Module 3: Cypher Query Language | Neo4j | Big Data Technology

07:16

Module 2: Relational database Vs Graph Database | Neo4j | Big Data Technology

06:33

Module 7: Example 3 - Semantic Textual Similarity | Transformer models | Natural Language Processing

07:42

Module 6: Example 2 - Classify text with BERT | Transformer models | Natural Language Processing

06:42

Module 5: Example 1 - Basics operations | Transformer models | Natural Language Processing

04:13

Module 4: Hugging Face Transformers | Transformer models | Natural Language Processing

03:40

Module 3: How Transformers Works? | Transformer models | Natural Language Processing

14:33

Module 2: Architecture of Transformer | Transformer models | Natural Language Processing

06:14

Module 5: Applications of CNN | Introduction to Convolutional Neural Networks | Computer Vision

17:28

Module 4: Image Classification with CNN | Introduction to Convolutional Neural Networks

04:39

Module 3: What CNN’s see? | Introduction to Convolutional Neural Networks | Computer Vision

22:51

Module 2: How do CNN’s work? | Introduction to Convolutional Neural Networks | Computer Vision

05:25

Module 7: Graphql queries example and IDEs | GraphQL | Big Data Technology

08:04

Module 6: Graphql basics with examples | GraphQL | Big Data Technology