AI in Software Development
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Understand AI Fundamentals
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Identify Business Opportunities
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Plan & Execute Projects
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Evaluate Impact & Ethics
60 Hours
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Beginner level
No Prior Knowledge Required
Flexible Learning
Available in Online, Offline, and
Hybrid Modes
60 Hours
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Program Overview
Key Features
AI-assisted code generation using LLMs and NLP tools
Automated testing, bug detection, and refactoring with AI tools
AI integration in DevOps, CI/CD pipelines, deployment automation
AI-driven assist for documentation, architecture suggestions, project planning
Exposure to tools like GitHub Copilot, IBM watsonx Code Assistant, and AI code assistants
Realistic labs and mini projects simulating AI in real software stacks
Focus on responsible use: oversight, security, and mitigating risks
Skills Covered
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AI-augmented coding and prompt engineering for software tasks
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AI-based testing, debugging, and code quality tools
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AI integration into DevOps and CI/CD workflows
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Architecture & documentation assistance using AI
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Security, risk assessment, and ethical oversight of AI in code
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Collaboration: working with AI as a partner in development
Course Curriculum
Module 1 • 10 hour to complete
• AI-assisted development tools (Copilot, ChatGPT
• Traditional vs AI-augmented SDLC
• AI in requirements gathering and design
• Quiz: AI & Software Engineering
Module 2 • 10 hour to complete
• Code completion & refactoring tools
• Testing with AI-based tools
• Hands-on: AI-powered coding exercise
• Quiz: Code Generation & AI
Module 3 • 10 hour to complete
• AI in bug detection and static analysis
• Predictive quality assurance
•Hands-on: AI-based test automation
• Quiz: AI in Testing
Module 4 • 10 hour to complete
• Intelligent monitoring and logging
• AI for incident management
• Case study: AI in DevOps workflows
• Quiz: AI & DevOps
Module 5 • 10 hour to complete
• Ethics of AI-generated code
• AI career paths for developers
• Final project: Build an AI-assisted application
Tools & Technologies
Completion Certificate
Job Role
- AI Software Engineer / Developer
- AI Tools / Code Assistant Engineer
- ML + DevOps Engineer (MLOps with software dev focus)
- AI Code Review / Quality Assurance Engineer
- AI Integration Architect
- AI DevOps / Platform Engineer
Training Option
OFFLINE
- 24/7 support
- 24/7 support
- 24/7 support
ONLINE
- 24/7 support
- 24/7 support
- 24/7 support
HYBRID
- 24/7 support
- 24/7 support
- 24/7 support
Why Join this Program
Earn a job
Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.
Leverage knowledge from industry experts
Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.
Industry-relevant Tools & Practical Learning
Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.
Structured, industry-vetted curriculum
A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.
Integrated with Gen AI Modules
The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.
Interview preparation & Placement assistance
Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.