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- User Authentication
- Yashaswini V's Credentials
- Yashaswini V's Wallet
- AWS AI Practitioner: Practical Use Cases for AI
- Azure AI Fundamentals: Artificial Intelligence Concepts
- Azure AI Fundamentals: Azure Machine Learning Fundamentals
- Big Data Concepts: Big Data Essentials
- AWS Certified Machine Learning: Data Engineering, Machine Learning, & AWS
- AWS Certified Machine Learning: Amazon S3 Simple Storage Service
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Defining Cloud Computing for Decision-makers: Cloud Business Model
- API Development: Introduction to APIs
- API Development: Framework Security
- API Strategy Design & Implementation: API Strategy Best Practices
- Testing Web API Services, Improving Performance, and Deploying
- Dependency Injection, HttpClient, and Tracing and Exception Handling
- API Development: Tools
- Data Loading in Snowflake: Fundamentals of Stages
- API Development: REST & SOAP Web Services
- API Error Handling: Best Practices
- API Development: Web API Technologies
- API Clean and Secure Coding: Clean Coding
- API Development: REST API Data Models
- API Clean and Secure Coding: API Secure Coding
- API Development: Cloud API Management
- API Development: Firebase Backend as a Service
- API Development: Cloud API Gateways
- Refactoring API Code
- API Development: REST API Semantics
- API Development: Client-side Web Service Consumption
- API Development: Web API Security
- API Development: HTML5 & Hypermedia
- API Development: URIs & Caching
- Agile & TDD Best Practices for APIs: API Microservices Using TDD
- Agile & TDD Best Practices for APIs: SOLID Design Principles
- API Management: Elasticsearch API Analytics
- Agile & TDD Best Practices for APIs: Test-driven Development Strategy
- Agile & TDD Best Practices for APIs: Test-driven Development Design Patterns
- API Management: Strategy & Monitoring
- Reusable API Code
- API Design: API Strategy & Design
- API Design: RESTful APIs
- Software Requirements Planning
- Patterns in Programming: Patterns in API Programming
- API Design: API Development
- Patterns in Programming: API Design Patterns
- Site Reliability: Tools & Automation
- Developing Solutions for Microsoft Azure: Virtual Machines
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Understanding Bots: Chatbot Advanced Concepts and Features
- Enterprise Security: Artificial Intelligence, Generative AI, & Cybersecurity
- An Introduction to Generative AI Concepts
- Learning from Failure and Success
- Introducing Natural Language Processing
- Text, Image, & Audio Generation with OpenAI
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- AI Fundamentals
- Encouraging Innovation and Experimentation with AI
- Leveraging AI as a Team Member
- Fostering a Growth Mindset in the Age of AI
- Leveraging Analytical and Critical Thinking to Implement AI
- Embracing Risk and Learning from Setbacks with AI Projects
- Leading an AI Transformation
- Human Skills to Sustain an AI Transformation
- Generative AI Business Transformation
- Leading through the AI Disruption with Empathy
- Unlocking Business Solutions with AI-Powered Analytics
- Using AI to Improve the Employee Experience
- Leading in the Age of Generative AI
- Reimagining Work with Generative AI
- Reimagining the Sales Process with Generative AI
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Establishing AI Guardrails and Governance
- Reimagining the Customer Experience with Generative AI
- Responsible Application and Guardrails for Generative AI
- Generative AI and Its Impact to Everyday Business
- Harnessing the Disruption of Generative AI
- Navigating AI Ethical Challenges and Risks
- Foundations of Generative AI
- Big Data Concepts: Getting to Know Big Data
- Developing Emotional Intelligence
- Big Data Fundamentals
- Big Data Interpretation
- Data Types & Normalization
- Evaluating Systems with Data Modeling
- Scalable Data Architectures: Getting Started
- SQL 2016 Tables
- Microsoft Azure Infrastructure Solutions: Data Solutions
- Data Engineering on Microsoft Azure: Data Factory
- Data Science Overview
- Data Filtering
- Data Gathering
- Web Design Enhancements
- Working with Microsoft Azure SQL: Getting Started with Azure SQL
- Working with Microsoft Azure SQL: Using Transact-SQL for Queries & Transactions
- An Overview of Cloud Databases
- Track 1: Cloud Databases
- Machine & Deep Learning Algorithms: Introduction
- SQL Transaction Locks
- Developing Solutions for Microsoft Azure: Azure Functions Triggers
- Developing Solutions for Microsoft Azure: Azure Functions
- Developing Solutions for Microsoft Azure: Cosmos DB Storage
- Developing Solutions for Microsoft Azure: Blob Storage
- Web Design Basics
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Gauging Your Leadership Performance
- Leading through Inspiration
- ChatGPT Prompt Engineering Examples & Use Cases
- Machine Learning & Data Analytics
- Data Architecture Deep Dive - Design & Implementation
- REST API: Exploring the Basic Features
- Working with Amazon DynamoDB: Getting Started with DynamoDB
- Microsoft Azure Fundamentals: Migrating to Azure
- ChatGPT & Its Practical Use Cases
- Azure Data Scientist Associate: Azure Data Factory
- Fundamentals of AI & ML: Foundational Data Science Methods
- Yashaswini V's Transcript
- Yashaswini V's Wallet
- About Accredible