Executive Development Programme in AI in the SDLC

-- viewing now

The Executive Development Programme in AI in the SDLC certificate course is a comprehensive program designed to meet the growing industry demand for AI integration in the Software Development Life Cycle (SDLC). This course emphasizes the importance of AI in transforming businesses and equips learners with the essential skills to lead AI-driven SDLC projects.

5.0
Based on 6,794 reviews

4,885+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

With a focus on practical applications, the course covers key AI concepts, tools, and methodologies, and their implementation at various stages of the SDLC. Learners gain hands-on experience in using AI to optimize software development processes, enhance product quality, and improve decision-making. By completing this course, learners will be able to drive AI adoption in their organizations, lead AI-driven SDLC projects, and stay ahead in the rapidly evolving tech industry. This program is ideal for IT professionals, project managers, and business leaders seeking to upskill and advance their careers in AI and SDLC.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course Details

Introduction to AI in SDLC: Understanding the role and significance of AI in the software development life cycle.
Data Acquisition and Preparation: Techniques for data collection, cleaning, and processing for AI-driven SDLC.
Machine Learning Algorithms: Overview of various machine learning algorithms and their application in SDLC.
AI-Driven Testing: Utilizing AI for automated software testing and quality assurance.
Natural Language Processing (NLP): Leveraging NLP capabilities to improve software requirements and documentation.
AI Model Training and Evaluation: Best practices for training and evaluating AI models in SDLC.
AI Ethics and Bias: Addressing ethical considerations and biases in AI-driven SDLC.
AI Integration and Deployment: Strategies for integrating AI components into existing SDLC processes and tools.
AI Governance and Maintenance: Guidelines for AI governance, maintenance, and continuous improvement in SDLC.

Career Path

In this Executive Development Programme in AI, you will explore various job roles related to artificial intelligence in the Software Development Life Cycle (SDLC) across the UK market. The 3D pie chart above showcases the current trends in AI job roles, covering the following key areas: 1. **AI Architect:** An AI architect is responsible for designing and implementing AI systems and solutions. They focus on developing strategies for integrating AI technologies into existing systems and infrastructure. 2. **AI Project Manager:** AI project managers lead and coordinate AI projects, ensuring they are completed on time and within budget. They are responsible for planning, executing, and overseeing all aspects of AI projects, including resource allocation, risk management, and communication with stakeholders. 3. **AI Data Scientist:** AI data scientists specialize in extracting insights from large, complex datasets using advanced analytics techniques, including machine learning and deep learning. They are responsible for creating predictive models, developing algorithms, and designing experiments to drive business value. 4. **AI Engineer:** AI engineers develop and maintain AI systems and applications. They focus on implementing AI models, optimizing system performance, and integrating AI technologies into existing software and hardware infrastructure. 5. **AI Ethicist:** AI ethicists address ethical considerations in AI development and deployment. They ensure that AI systems are designed and implemented in a manner that respects privacy, fairness, transparency, and other ethical principles. These roles demonstrate the growing importance of AI in the SDLC and the need for professionals with expertise in AI technologies and applications. By participating in this Executive Development Programme in AI, you will be well-positioned to succeed in this rapidly evolving field.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track: GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode: GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
EXECUTIVE DEVELOPMENT PROGRAMME IN AI IN THE SDLC
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
SSB Logo

4.8
New Enrollment