When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Applying GenAI Across the Software Development Lifecycle
Equip your team with the skills to integrate Generative AI across the Software Development Lifecycle. This course covers AI-driven software development, testing, security, and operations, enabling...
Read More
$5,000 USD
Duration
5 days
Course Code
GAI-2103
Available Formats
Classroom
Overview
Course Description
Equip your team with the skills to integrate Generative AI across the Software Development Lifecycle. This course covers AI-driven software development, testing, security, and operations, enabling teams to enhance productivity, improve code quality, and streamline workflows. Participants will gain hands-on experience with GenAI tools to secure, optimize, and innovate across the software delivery pipeline.
Skills Gained
By the end of this course, participants will be able to:
- Understand the role of GenAI in DevSecOps processes.
- Enhance software planning, design, and testing with AI-driven tools.
- Automate security reviews, testing, and remediation using GenAI.
- Optimize build and release processes with AI-powered solutions.
- Integrate AI into deployment, monitoring, and operational workflows.
- Foster collaboration and knowledge sharing with AI tools.
Who Can Benefit
- Software Developers
- DevOps Engineers
- Security Professionals
- IT Operations Teams
- Anyone interested in applying AI to DevSecOps practices
Prerequisites
- Familiarity with Generative AI concepts and tools.
- Practical experience with Python programming.
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Introduction to GenAI Coding Assistants
- What are Coding Assistants?
- Evolution of Developer Tools
- How AI Coding Assistants Work
- Key Features of Modern Coding Assistants
- Code Completion & Suggestions
- GitHub Copilot Overview
- Code Generation Capabilities
- Documentation Generation
- Testing & Debugging
- Code Translation
- Code Refactoring
- Best Practices
- GitHub Copilot Strengths and Weaknesses
- Looking Ahead
- Summary
Basics of Prompt Engineering
- Basics of Prompting
- What is Prompt Engineering?
- Why It’s Both Art and Science
- Communicating with Large Language Models
- Why is Prompt Engineering Useful?
- Prompt Engineering to Address Limitations of LLMs
- Importance of Effective Prompting
- Instructions and Questions
- Personas and Conditional Prompts
- Principles of Effective Prompt Design
- Anatomy of an Effective Prompt
- Methodological Instructions
- Personas and Constraints
- Use Examples for more Effective Outputs
- Asking for Reflection (Inner Monologue)
- Layering Prompts
- Adapting to Intended Audience
- Emphasizing Specific Details
- Putting it Together: Translation and Data Analysis
- Example: Technical Support Response
- Common NLP Tasks
- Summarization and Classification
- Named Entity Recognition (NER)
- Summary: Effective Prompting Strategies
- Case Study: Customer Support Chatbot
- Balancing Detail with Conciseness
- Key Takeaways and Resources
Exploring GitHub Copilot Features
- The Evolution of Copilot
- Copilot Chat Overview
- Context-Aware Code Suggestions
- Multi-Language Support
- Function and Method Generation
- Real-Time Code Completion
- Comment-Driven Development
- Learning from User Preferences
- Integration with Popular IDEs
- Code Review Assistance
- Support for Frameworks and Libraries
- Continuous Learning and Improvement
- Understanding Chat Contexts
- Copilot CLI Integration
- Pull Request Features
- Workspace Understanding
- Slash Commands (Core, Analysis, Documentation, and Testing)
- Chat Variables (Types, Snippets, Configuration, and Best Practices)
- Chat Participants (@workspace, @terminal, @vscode, @github)
- Repository Indexing and Multi-File Operations
- Advanced Prompt Engineering
- Extensions and Integrations
- Understanding Copilot Models (GPT-4o, O3-mini, Gemini 2.0 Flash, Claude 3.5 Sonnet)
- Configuring GitHub Copilot and Security Settings
- Custom Prompts and Prompt Libraries
- MCP Integration with Copilot (Preview)
Building Generative AI Applications
- Common Applications and Application Types
- Deployment Considerations
- Accessing Large Language Models via API
- Setting up OpenAI API Access
- See it in Code: First Text Generation Call
- Messages Object and Role Definitions
- Few-Shot Prompting through examples
- Utilizing LLM APIs in Applications
- Enhancing User Interactions
- Producing Structured Outputs (JSON)
- See it Code: Structured outputs for Task Management
- Putting it Together: Building GenAI Applications
Accelerating Development With LangChain
- What is LangChain and Framework Overview
- Benefits of LangChain
- LangChain Terminology and Concepts
- Language Models and Selection Criteria
- LLMs in LangChain: See it in code
- Prompts and Templates
- LangChain Expression Language (LCEL)
- Structured Outputs with Pydantic and Field Validation
- Creating Tools and Toolkits
- Optimizing LangChain Usage
- Question Answering System and Document Analysis
- Common LangChain Use Cases
Function and Tool Calling
- Module Overview
- How Function Calling Works
- Binding Functions to LLMs
- Handling LLM Responses
- Error Handling and Retries
- Security of LLM Function Calls
- LangChain ToolKits
- Function Calling Best Practices
Requirements and Design with GenAI
- Feature Brainstorming and Ideation
- User Stories and Acceptance Criteria
- Architecture Design
- Security and Threat Modeling
- Collaborative Design Reviews
- Design Documentation Automation
Practical Applications of GenAI in Coding
- AI-Powered Code Generation
- Code Refactoring with GenAI
- Code Quality and Consistency
- Code Documentation
- Pair Programming with AI
Testing with GenAI
- Automated Test Generation
- Test Data Generation
- Self-Healing Tests
- Test Result Analysis
Using GenAI to Improve Application Security
- LLM-Specific Security Threats
- Secure Code Reviews with GenAI
- Static Application Security Testing (SAST)
- Automated Remediation
- Compliance and Documentation
Fast and Reliable Builds with GenAI
- Reviewing Build Logs and Identifying Failures
- Debugging Build Failures with GenAI
- Optimizing Build Times and Resource Usage
- Identifying and Resolving Dependency Conflicts
- Automating Dependency Updates
- Container Build Creation and Optimization
- Best Practices for Fast and Reliable Builds
Streamlining Software Release with GenAI
- Creating Detailed and Accurate Release Notes
- Generating Comprehensive Deployment Checklists
- Automating Rollback Plans and Procedures
- Designing Functional Test Plans
- Assessing Release Risks
- Conducting AI-Assisted Evaluations of Release Readiness
- Best Practices for AI-Enhanced Releases
Integrating AI into Deployment
- IaC Generation & Optimization
- Deployment Troubleshooting with AI
- CI/CD Pipeline Configuration with AI
- Secure IaC Template Validation
- Automated Configuration Audits
- Best Practices
GenAI-Enhanced Operations and Monitoring
- Runbook Generation & Operation Task Automation
- Basic System Monitoring and Alerting with AI
- GenAI Log Analysis and Alert Prioritization
- Performance Tuning & Resource Optimization
- Incident Root Cause Analysis with AI Assistance
- Predictive Maintenance and Failure Prevention
- Best Practices for Operations Excellence
AI-Driven Collaboration and Knowledge Sharing
- Collaboration Challenges and AI Solutions
- Automated Meeting Documentation and Summaries
- Cross-Functional Communication and Concept Translation
- Automated Knowledge Base Creation
- AI-Assisted Code Review
- Accelerated Onboarding Programs
- Asynchronous Collaboration for Distributed Teams
- Implementation Strategy and Phased Adoption Roadmap
- Measurable Impact and Case Studies
Course Conclusion: Your AI-Powered Development Future
- Course Summary and Accomplishments
- Key Takeaways: The AI Development Mindset
- Applying What You’ve Learned
- Building Your AI Strategy and Adoption Timeline
- Resources for Continued Learning
- Certification and Emerging AI Trends
- Your Personal AI Action Plan
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
ExitCertified provided great learning material and the instructor was great.
Good training. A lot to take in for the short amount of time we have though
Overall it was a good bootcamp. A lot to cover so it is understandable that the pace had to be a little fast.
The training was great . But i expected some of the Networking concepts would be covered in this certification .
Great company -- easy to sign up and very organized. Loved my teacher and class overall.
