OVERVIEW
Use AI to solve real business problems.
Cloud computing underpins modern applications, data platforms and AI services. This programme develops practical foundations across cloud infrastructure, networking, AWS, Microsoft Azure, cloud security and AI-enabled cloud services, with an emphasis on skills that can be demonstrated through applied work
Instructor-Led
60 Hours
Self-Paced
40 Hours
Career Accelerator
9 Hours
MODULES
A career-focused learning experience beyond academics
Module 1: AI, Generative AI & Prompt Engineering
- AI and machine learning fundamentals
- How Generative AI and large language models are used
- Prompt engineering and structured prompting
- AI limitations, verification and responsible use
Applied output: Build a reusable prompt library for a defined professional role.
Module 2: AI for Research, Data & Productivity
- AI-assisted research and synthesis
- AI for documents, presentations and spreadsheets
- Data interpretation with AI
- Improving individual and team productivity
Applied output: Create an AI-enabled productivity workflow.
Module 3: AI for Business Functions
- AI in marketing and sales
- AI in finance and operations
- AI in HR and customer service
- Identifying high-value AI use cases
Applied output: Develop an AI use-case map for a business function.
Module 4: AI Workflow Automation & Business Value
- Workflow design
- No-code/low-code automation concepts
- Human-in-the-loop processes
- ROI, risk and governance
Applied output: Design an AI-enabled workflow and business case.
Module 5: AI Business Solution Capstone
- Problem definition
- Solution design
- Prototype/workflow development
- Business impact, risks and presentation
Applied output: Portfolio-ready AI solution addressing a real business problem.
Structured Self-Paced Learning: 40 Hours
Approximately 8 hours of guided self-paced learning accompanies each module. Activities may include digital learning content, tool practice, guided exercises, case studies, quizzes/knowledge checks, assignments, applied reading and progressive development of the final project.
Career Relevance
what to expect
Possible Learning & Career Outcomes
Learning Outcomes
By the end of the programme, learners will be able to:
- AI & Generative AI Fundamentals: Understand fundamental AI, machine learning and Generative AI concepts and their business applications.
- Prompt Engineering: Develop effective prompts and structured AI interactions to improve the quality and relevance of AI-generated outputs.
- AI for Business Functions: Apply AI tools across marketing, finance, operations, customer service and other business functions.
- AI-Assisted Data Analysis: Use AI-enabled approaches to interpret information, identify patterns and support business decisions.
- AI Productivity & Automation: Use AI to improve research, documentation, analysis, communication and routine business workflows.
- AI Use-Case Identification: Identify business processes and problems where AI can create measurable value.
- Responsible AI Application: Understand the limitations, risks, governance and responsible use of AI in professional environments.
- Applied AI Learning: Design an AI-enabled workflow or solution addressing a practical business problem.
Career Outcomes
The programme enhances AI capabilities relevant across a wide range of business roles, including:
- AI-Enabled Business Analyst: Use AI and data to analyse business problems and support decision-making.
- Business Operations Associate: Apply AI and automation to improve operational processes and productivity.
- Digital Transformation Associate: Support organisations in identifying and implementing technology-enabled improvements.
- AI-Enabled Marketing Executive: Use AI for research, content, customer insight and marketing workflows.
- Project / Product Associate: Apply AI tools to research, planning, documentation and business problem-solving.
fees (EXclusive of gst)
₹1,00,000 + 18% GST
Admissions
How to apply?
Indian students applying for programmes at LSBF India are required to complete the prescribed admission formalities in accordance with the programme requirements. Prospective applicants may submit an enquiry through our official application channels or connect directly with our admissions team for personalised guidance on programme selection, eligibility criteria, documentation, and next steps.
Our dedicated team is committed to supporting you at every stage of your journey, from application submission to final enrolment- ensuring a smooth and seamless admissions experience.
Online Application
Complete the online application form and upload the required documents.
Application Evaluation
The admissions team evaluates your eligibility and application profile.
Offer of Enrolment
Eligible applicants receive an official admission offer from the programme team.
Fee Payment & Confirmation
Complete the fee payment to confirm your enrolment and secure your seat
