AI Driven Software Development

Course Bootcamp

This intensive bootcamp equips learners with cutting-edge skills to integrate artificial intelligence into modern software development practices. Participants will gain hands-on experience with AI-powered coding tools, automation frameworks, AI-powered DevOps, autonomous software agents, secure AI-assisted programming, and responsible AI governance. Through extensive labs and projects, students will design and implement AI-augmented development pipelines and autonomous software systems while addressing security, reliability, and ethical considerations aligned with industry demands.

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Duration

60 hours

Session Days

Weekdays
Weekends

Course Delivery

Classroom
Live Remote

Target Audience

Students, Professionals

Level

Foundation to Intermediate

Cost

USD 199

* Discounts available

Bootcamp Features

Delivered by experienced & certified instructors

Focus on Problem Solving & Critical Thinking

Exposure to modern AI frameworks and APIs.

STEM based Approach

Skill based Curriculum

Project-based Learning

Certificate of completion

Focus on practical hands-on with real-world example cases

Very high student satisfaction

Real-world software development case studies

Live demos of AI-assisted coding and debugging

Mentorship from industry professionals

Mock examinations and quizzes

Possible Job placements

AI Driven Software Development has become so important recently. It equips professionals to build intelligent, modern adaptive, and efficient systems. It enhances productivity through automation, improves decision making with data driven insights, and enables creation of innovative applications such as chatbots, recommendation engines, and predictive tools. These skills are essential for future ready careers, industry competitiveness, and solving complex real world problems across global domains.

Why to Learn AI Driven Software Development?

AI-powered coding techniques widely used in industry

Boost productivity using AI-assisted development tools

Increase employability in AI-driven roles.

Lucrative Salary

Improve debugging and testing efficiency with AI

Enhance problem-solving with AI assistance

Stay relevant in evolving software engineering practices

Learn modern development workflows integrating AI

Improve collaboration in development teams

Explore cutting-edge tools like GitHub Copilot

Gain exposure to DevOps with AI integration

Automation and Scripting with AI

What Skills Will You Learn?

AI-driven SDLC understanding

Prompt engineering for developers

AI-assisted coding

Intelligent debugging techniques

Code optimization using AI

DevOps automation with AI

Cloud deployment of AI applications

Version control with AI workflows

API integration for AI services

Data handling for AI applications

Automated testing with AI

Machine learning model integration

Software architecture design with AI

String Problem-solving using AI tools

Building chatbots and AI assistants

Ethical and responsible AI usage

Who is this Course For?

AI/ML enthusiasts

Software Engineers

DevOps engineers

Project Managers

University Faculty

Business Analysts

University Students

Researchers

Curriculum

Introduction to AI-Driven SDLC

Evolution of AI in Software Engineering,
AI-assisted app builders
Productivity measurement in AI-assisted development

Prompt Engineering & Large Language Models

Foundations of Large Language Models
Transformer Architecture (Conceptual Overview)
Popular LLM Platforms like OpenAI (GPT models), Google DeepMind (Gemini), Meta AI (LLaMA), Anthropic (Claude)
Open-source vs closed-source models Capabilities & Limitations
Prompt Engineering Concepts
Types of Prompting including Zero-shot, Few-shot, Chain-of-thought, Role-based, and Instruction prompting
Prompt Structure Framework like CLEAR Framework
Advanced Techniques Common Prompting Mistakes