Gen AI ASCEND Integrated - Developer
Completed by Pradyumn Pravinkumar Daga on June 7, 2026
Verified learner ·
Badge ID: Meqhqfx1QBeqoan8dVAX6A
About this Badge
In this course you will learn how Generative AI is reshaping software development—from building apps with Gemini and mastering version control to using LLMs as coding partners, evaluating AI models, managing ML projects, and enhancing QA testing with AI-powered automation.
Learning objectives
- Integrate AI chatbots as pair programmers to enhance software development productivity and creativity.
- Evaluate and optimize large language model outputs using foundational and advanced techniques.
- Apply version control, debugging, and object-oriented programming principles in software creation.
- Utilize Machine Learning Operations tools to manage and track AI project experiments and data.
Skills learned
- Software Design Patterns
- Software Development Tools
- Software Development Methodologies
- Large Language Modeling
- Integrated Development Environments
- Google Cloud Platform
- Google Gemini
- Model Evaluation
- Object Oriented Design
- Responsible AI
- Secure Coding
- LLM Application
- Application Deployment
- Code Review
- Version Control
- Performance Metric
- AI Workflows
- Programming Principles
- Web Applications
- Generative AI
- Human Factors
- Quality Assessment
- Prompt Engineering
- Machine Learning
- Data Store
- Jupyter
- Debugging
- Program Development
- Metadata Management
- Computer Programming
- Development Environment
- Data Ethics
- Application Development
- Application Security
- Web Development
- Software Design
- Software Engineering
- Software Development
- Git (Version Control System)
- Artificial Intelligence and Machine Learning (AI/ML)
- MLOps (Machine Learning Operations)
- Object Oriented Programming (OOP)
- Command-Line Interface
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Learning content completed
Some of the content and skills presented have been contributed by the content provider.