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- Sai Kiran Malkireddy's Credentials
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- AI for Tech Leaders
- AI for Tech Leaders: Transform
- AI for Software Engineers: Activate
- AI for Software Engineers: Accelerate
- AI for Software Engineers: Transform
- AI for Software Engineers
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Emerging Data Trends: Unveiling the Power of Practical Data Fabric
- Emerging Data Trends: Navigating the Latest Trends in Data for Leaders
- Emerging Data Trends: Unlocking Data Observability
- Emerging Data Trends: Converged & Composable Systems
- Emerging Data Trends: AI TRiSM Unleashed
- Developing an AI/ML Data Strategy: Aspects of a Robust AI Strategy
- Developing an AI/ML Data Strategy: Data Bias & Ethical Considerations in AI
- Developing an AI/ML Data Strategy: Data Management & Governance in AI
- AI for Tech Leaders: Activate
- AI for Tech Leaders: Accelerate
- Fundamentals of AI & ML: Metrics & Evaluation
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Foundational Data Science Methods
- Fundamentals of AI & ML: Advanced Data Science Methods
- Mathematical Foundations of Image Generation
- High-resolution Image Generation
- Image Generation with AI
- Track1: Mastering Image Generation with AI
- Final Exam: Image Generation with AI
- Introduction to AI-powered Image Generation
- Image Generation Frameworks
- Mastering Image Editing with VAEs
- Image Generation with Stable Diffusion in Keras
- Understanding the AI Landscape for Developers
- Track 1: Introduction to the AI Landscape & GPT
- AI for Programmers: Accelerate
- AI for Programmers
- AI for Programmers: Transform
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- AI for Programmers: Activate
- Getting Started with Prompt Engineering
- An Introduction to Generative AI
- AI for Data Science
- AI for Data Science: Transform
- NLP with LLMs: Working with Tokenizers in Hugging Face
- NLP with LLMs: Hugging Face Classification, QnA, & Text Generation Pipelines
- NLP with LLMs: Language Translation, Summarization, & Semantic Similarity
- NLP with LLMs: Fine-tuning Models for Classification & Question Answering
- NLP with LLMs: Fine-tuning Models for Language Translation, & Summarization
- AI for Data Science: Activate
- Getting Started with Large Language Models (LLMs)
- Generative Modeling Foundations
- Exploring the Depths of Large Language Models in Generative AI
- Leveraging Generative AI for Business
- Deep Learning and Neural Networks
- Artificial Intelligence and Machine Learning
- Generative AI Models: Generating Data Using Variational Autoencoders
- Generative AI Models: Generating Data Using Generative Adversarial Networks
- Generative AI Models: Getting Started with Autoencoders
- Using Recurrent Networks For Natural Language Processing
- Natural Language Processing Using Deep Learning
- Using Out-of-the-Box Transformer Models for Natural Language Processing
- Attention-based Models and Transformers for Natural Language Processing
- An Introduction to GPT Models
- AI for Data Science: Accelerate
- An Introduction to Generative AI Concepts
- CGI Annual Tour F2025
- Text, Image, & Audio Generation with OpenAI
- Code, Relatedness, & Fine-tuning with OpenAI
- Track 2: Harnessing OpenAI APIs for Powerful Application Solutions
- Reimagining Marketing with Generative AI
- Introduction to the OpenAI API
- Generative AI APIs for Practical Applications: An Introduction
- Track 1: Fundamentals of Generative AI APIs for Practical Applications
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Navigating AI Ethical Challenges and Risks
- Reimagining the Customer Experience with Generative AI
- Reimagining the Sales Process with Generative AI
- Unlocking Business Solutions with AI-Powered Analytics
- Using AI to Improve the Employee Experience
- Leading in the Age of Generative AI
- Encouraging Innovation and Experimentation with AI
- Leading through the AI Disruption with Empathy
- 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
- Harnessing the Disruption of Generative AI
- DevOps Agile Development: Agile Processes for DevOps
- Planning AI Implementation
- Machine Learning & Data Analytics
- Generative AI and Its Impact to Everyday Business
- Establishing AI Guardrails and Governance
- CGI Annual Tour F2024: Asia Pacific Global Delivery Centers of Excellence (retired October 2023)
- Hadoop in the Cloud
- ChatGPT's Impact on Various Industries
- Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
- ChatGPT Prompt Engineering Examples & Use Cases
- ChatGPT & Its Practical Use Cases
- Finetuning Your ChatGPT Prompts
- Microsoft Azure Fundamentals: Databases & Data Analytics
- Docker Containers, Images, & Swarms
- Working with Microsoft Azure SQL: Getting Started with Azure SQL
- Working with Microsoft Azure SQL: Advanced Topics in Azure SQL Databases
- Working with Microsoft Azure SQL: Using Transact-SQL for Queries & Transactions
- Working with Microsoft Azure SQL
- Track 2: Microsoft Azure SQL Database
- Final Exam: Working with Microsoft Azure SQL
- Track 1: Cloud Databases
- AWS Lambdas in Python: Using AWS Lambda with Containers, SES, SNS, & DynamoDB
- AWS Lambdas in Python: Serverless Compute in Python with AWS Lambda
- Final Exam: Python in Action
- Developing Apps with Tkinter: Tree View Operations & Login and Sign-up Pages
- Web Apps with web2py: Database Connectivity & the Model
- Web Apps with web2py: Getting Started
- Web Apps with web2py: The Controller & View
- Web Apps with web2py: Working with Prebuilt Bootstrap Templates
- Web Apps with web2py: Decorators, Foreign Key Constraints, & Table Forms
- Developing Apps with Tkinter: Menu Bars, \nSeaborn Visualization, & MySQL DBs
- Developing Apps with Tkinter: Working with File Dialogs & Tree Views
- Developing Apps with Tkinter: Configuring Interactive Widgets
- Developing Apps with Tkinter: Getting Started
- New Developments in Python
- Working with Amazon DynamoDB: Interacting with DynamoDB
- Working with Amazon DynamoDB: Getting the Best Out of DynamoDB
- Working with Amazon DynamoDB: Advanced Operations in DynamoDB
- Track 1: Dynamo DB Database
- Working with DynamoDB
- Final Exam: Working with Amazon DynamoDB
- Working with Amazon DynamoDB: Getting Started with DynamoDB
- An Overview of Cloud Databases
- AWS Developer Associate 2022: Configuration as Code
- AWS Developer Associate 2022: Serverless Compute Services
- Track 1: Cloud Databases
- AWS Developer Associate 2022: Storage Services
- AWS Cloud Practitioner 2019: Architecture Design Principles
- AWS Developer Associate 2022: Stateless Applications
- AWS Developer Associate 2022: CloudFormation
- AWS Developer Associate 2022: Cloud Services
- AWS Cloud Practitioner 2022: Technical Essentials Part 1
- AWS Cloud Practitioner 2022: Technical Essentials Part 2
- AWS Cloud Practitioner 2022: Cloud & the Value Proposition
- AWS Cloud Practitioner 2022: Core AWS Services
- AWS Cloud Practitioner 2020: Cloud and the Value Proposition
- The Language of DevOps: DevOps Tools & Processes
- Testing & Delivery
- Embracing the Cloud for Business Efficiency
- Development Approaches
- Internet of Things Overview
- Cloud Computing Fundamentals: Cloud Virtualization & Data Centers
- IT Infrastructure Automation: Automation & Scalability
- Exploring Blockchain
- Data Exploration
- Data Integration
- Data Analysis Concepts
- Machine Learning Introduction
- Preparing for the Additive Manufacturing Revolution
- Data Communication & Visualization
- Cloud Computing Fundamentals: Storing & Managing Cloud Data
- IT Infrastructure Automation: Text File Processing & RegEx
- Cloud Computing Fundamentals: Migrating to the Cloud
- Java Spring Cloud: Introduction to Microservices
- Cloud Presence & Privacy
- Key Statistical Concepts
- Bitcoin Basics
- Data Transformation
- Data Filtering
- Cloud Computing Fundamentals: Security
- Data Considerations in Analytics
- Microservices Architecture
- IT Infrastructure Automation: Python Automation Programming
- Introduction to Machine Learning & Supervised Learning
- Data Center Virtualization: vSphere & ESXi
- Data Gathering
- Process & Applications
- Neural Networks
- Unsupervised Learning
- Supervised Learning Models
- Current & Future Trends
- Convolutional and Recurrent Neural Networks
- Applying Machine Learning
- Correlation & Regression
- Data Collection & Exploration
- Data Mining, Data Distributions, & Hypothesis Testing
- Blockchain in Action & IoT
- IT Infrastructure Automation: Automated Monitoring
- Developing with Blockchain
- IT Infrastructure Automation: Version Control & GIT
- Using Augmented Reality for Organizational Gains
- How Blockchain Technology is Transforming Businesses
- Design Principles
- Introduction To UI/UX
- Creating Engagement with Virtual Reality
- Introduction to Digital Currency
- Bitcoin Technology Fundamentals
- Exploring Virtual Reality: Introduction
- Designing with Flexibility & Efficiency in Mind
- Cloud Computing Fundamentals: Introduction
- Data Science Overview
- Getting Started with Machine Learning
- Internet of Things Applications
- Management
- Internet of Things Hardware
- Connecting with the Internet of Things
- DevOps Mindset: DevOps Principles & Implementation Approach
- Big Data Interpretation
- Moving to the Cloud
- The Language of DevOps: DevOps Principles & Practices
- DevOps Agile Development: DevOps Methodologies for Developers
- Harnessing the Power of Data Science for Business Growth
- Machine Learning
- Effective Edge Computing
- Exploring Data Visualization
- Applying Predictive Analytics
- An Executive's Guide to Security: Understanding Security Threats
- An Executive's Guide to Security: Protecting Your Information
- Transforming the Workplace Using Artificial Intelligence
- Automation Design & Robotics
- IT Infrastructure Automation: Getting Started
- Agile Software Development Methodologies
- Exploring Business Process Automation
- Implementing an Automation Software Strategy
- Using Robots and RPA in the Workplace
- Agile Software Development - Scrum
- Agile Programming & Testing
- Planning an Effective Mobile App Strategy
- Artificial Intelligence: Basic AI Theory
- Introduction
- Libraries
- Material & Elements
- Reactive Programming
- Testing & TDD
- Basic Concepts of a Microservices Architecture
- Introduction to Agile Software Development
- Introducing Natural Language Processing
- Constraint Satisfaction Problems
- Adversarial Problems
- Search Problems
- Uncertainty
- Reinforcement Learning
- Introduction to Artificial Intelligence
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