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Team Software Engineering with AI
In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies.
By the end of this course, you will be able to:
- Utilize LLMs to generate and implement various types of software tests, from exploratory to security testing
- Create clear, useful documentation that follows best practices and language-specific conventions
- Use AI to explore and manage software dependencies, including resolving conflicts and addressing security issues
- Debug common dependency-related problems with AI as your pair-programmer
These skills will enhance your ability to work effectively in development teams, improve code quality, and streamline the software development lifecycle. By learning AI-assisted collaboration techniques, you'll become a more valuable asset to any development team and be better prepared to tackle complex, real-world software engineering challenges.
Duration
7 Months
Institution
DeepLearning.AI
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into DeepLearning.AI.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$115
Total Est. Investment
$115
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Team Software Engineering with AI program at DeepLearning.AI are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.