Corporate Training

AI-Powered Application Development

Build Intelligent Applications with AI-Powered Development

Course ID
AIPAD
Department
Artificial Intelligence
Campus
1 Cornhill
Level
Certificate
Method
Lecture + Project + Internship
Duration
Full Time (12 Months) & Part Time (24 Months)

Welcome to LSET’s AI-Powered Application Development Course, designed to equip you with practical skills for building intelligent, AI-enabled applications. Explore a modern curriculum covering AI-assisted development, generative AI, LLM integration, prompt engineering, AI APIs, RAG, AI agents, and intelligent application workflows. Whether you’re a software developer looking to enhance your development capabilities or aiming to build next-generation AI applications, this course provides hands-on, practical learning to transform ideas into real-world AI-powered solutions.

Apply now to start your journey towards becoming an AI Application Developer with LSET.

Are you looking for corporate training?
We tailor our courses to meet the specific needs of your team. If you would like to discuss your training requirements, please email admission@lset.uk today.		 Explore Now
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Course Description & Tuition Fees

How to choose an option that best aligns with your goals?

When considering LSET's course options, take into account various factors such as the duration of the program, the depth of content covered, and how each aligns with your career objectives.
  • Foundation Certificate: provides a quick but comprehensive introduction to technology, perfect for those with limited time or budget constraints.
  • Advanced Certificate: offers a deeper dive into foundational and advanced concepts, suitable for individuals passionate about expanding their knowledge and skills in technology.
  • Expert Certificate: is designed for ambitious learners committed to mastering their craft, offering intensive training and exclusive industry access over a longer period.

Evaluate each option based on how well it fits with your goals and aspirations within the tech industry

kindly use the tabs below to select your desired certificate type

FOUNDATION

ADVANCED

EXPERT

EXPERT PLUS

EXPERT STAR

EXPERT ELITE

FOUNDATION CERTIFICATE
Expertise Gained: ★ ★
LSET Foundation is a condensed and affordable program designed to ignite your skills in a shorter time frame. Perfect for busy individuals seeking a quick yet comprehensive introduction to the world of technology.
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 4 weeks
Teaching Hours: 8 hours
Practice Hours(Optional): 36 hours
Lab Hours: 8 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront: £400
Classroom Fees (Excl. of VAT)
Pay Upfront: £1,000
International Classroom
Pay Upfront: £1,400
ADVANCED CERTIFICATE
Expertise Gained: ★ ★ ★
LSET Advanced Certificate is your all-encompassing journey into the realms of technology, offering a 360-degree immersion into the world of technology and beyond. Dive deep, explore extensively, and emerge elevated.
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 8 weeks
Teaching Hours: 16 hours
Practice Hours(Optional): 80 hours
Lab Hours: 16 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £800
Pay Per Module:
Number of Modules: 4
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £2,000
Pay Per Module:
Number of Modules: 4
Per Module Fee: £625
International Classroom
Pay Upfront: £2,800
EXPERT CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
LSET Expert is the pinnacle of technical education for those committed to mastering their craft. Explore intricate technical concepts with industry experts, elevate your skills, expand your horizons, and unlock your full potential.
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 16 weeks
Teaching Hours: 32 hours
Practice Hours(Optional): 150 hours
Lab Hours: 32 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,600
Pay Per Module:
Number of Modules: 8
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £4,000
Pay Per Module:
Number of Modules: 8
Per Module Fee: £625
International Classroom
Pay Upfront: £5,600
EXPERT PLUS CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
(Expert + Project (Online) + LSET Sector Specialisation Add-On)
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 6 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £3,200
Pay Per Module:
Number of Modules: 16
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £8,000
Pay Per Module:
Number of Modules: 16
Per Module Fee: £625
International Classroom
Pay Upfront: £11,200
Career Accelerator Program
EXPERT STAR CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab)
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 13 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £7,480
Pay Per Module:
Number of Modules: 22
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £11,440
Pay Per Module:
Number of Modules: 22
Per Module Fee: £650
International Classroom
Pay Upfront: £15,400
Premium Career-Ready Track
EXPERT ELITE CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab + Pro Plan)
Course Details
Online Fees
(Excl. of VAT)
Home Classroom
(Excl. of VAT)
International Classroom
Certificate
Duration: 13 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £8,160
Pay Per Module:
Number of Modules: 24
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £12,480
Pay Per Module:
Number of Modules: 24
Per Module Fee: £650
International Classroom
Pay Upfront: £16,800
Enroll & Pay UpfrontEnroll & Pay Per Module
   Note: Please note that all prices listed are exclusive of VAT. VAT will be charged separately and added to the total amount payable.

Compare All Certificates

Course
Foundation
Advanced
Expert
Expert Plus
Expert Star
Expert Elite
Expertise
★
★★★
★★★★
★★★★★
★★★★★
★★★★★
Course Duration
3 weeks
8 weeks
16 weeks
6 months
13 months
13 months
Teaching Hours
6 hours
16 hours
32 hours
48 hours
104 hours
104 hours
Practice Hours
36 hours
80 hours
150 hours
288 hours
624 hours
624 hours
Lab Hours
6 hours
16 hours
32 hours
48 hours
104 hours
104 hours
Project
 
 
 
 
 
 
Paid Internship
 
 
 
 
 
 
Online
Pay Upfront Fees (with 20% Disc)
£400
£800
£1,600
£3,200
£7,480
£8,160
Pay Per Module Fees
 
No of Modules: 4
Per Module Fee: £250
No of Modules: 8
Per Module Fee: £250
No of Modules: 16
Per Module Fee: £250
No of Modules: 22
Per Module Fee: £425
No of Modules: 24
Per Module Fee: £425
Home (UK Residence) Classroom
Pay Upfront Fees (with 20% Disc)
£1,000
£2,000
£4,000
£8,000
£11,440
£12,480
Pay Per Module Fees
 
No of Modules: 4
Per Module Fee: £625
No of Modules: 8
Per Module Fee: £625
No of Modules: 16
Per Module Fee: £625
No of Modules: 22
Per Module Fee: £650
No of Modules: 24
Per Module Fee: £650
International
International Fees
£1,400
£2,800
£5,600
£11,400
£15,400
£16,800
Add-ons
Work Shadowing
Learn More
Optional
Optional
Optional
Optional
 
 
Pro Plan
Learn More
Optional
Optional
Optional
Optional
Optional
 
   Disclaimer: Our Industrial Training and Internship Program (part of Expert Star and Expert Elite) includes a guaranteed six-month paid internship with a technology company, offering work commitments ranging from ten (10) hours to forty (40) hours per week. We aim to provide at least ten (10) hours of work per week, but some companies may offer up to a maximum of 40 hours per month. The actual number of hours worked may exceed ten (10) hours per week, depending on the hiring company. We guarantee compensation at the national minimum wage; however, the hiring company may offer a higher wage at their discretion. We do not guarantee any compensation above the national minimum wage. Internship placements may be with our organisation or with one of our affiliated sister companies. We aim to place participants in a variety of companies, ranging from early-stage startups to established enterprises. However, we do not guarantee the type or size of the company for the internship placement. Due to visa restrictions, certain international students may be ineligible to participate in this program.
★ NEW LSET Work-Integrated Learning (LWIL) Program: Exclusive to International Students
6 Months of Learning and Interning (GAE Visa Route with Full Support Provided by JENZA who delivers the BUNAC sponsorship)
This program is exclusively designed for international students who are planning to come to the UK specifically to study with LSET. Visa sponsorship and compliance support for the GAE visa route will be provided by our official partner, JENZA / BUNAC. If you are already in the UK on a Student Visa and enrolled with a UK university, you may consider our standard certificate programs such as Foundation, Advanced, Expert, Expert Plus, Expert Star, or Expert Elite. You may be eligible to work based on the conditions of your current visa; please check with your university or visa sponsor to confirm whether you are allowed to work while studying.		 Learn More
Enhance Your Capstone with Real-World Industry Focus

LSET Sector Specialisation Add-On

This optional add-on lets students customise their capstone project based on their preferred industry. It’s designed to boost employability by giving practical experience and insight into specific high-growth sectors in the UK.

Available Specialisations:

  • Financial Services & FinTech
  • Technology & AI
  • Healthcare & Biotechnology
  • Film, Media & Entertainment
  • Legal & Professional Services
  • Real Estate & Construction
  • Tourism & Hospitality
  • Retail & E-commerce
  • Education & EdTech
  • Green Energy & Sustainability
  • Cybersecurity & Data Privacy
  • Logistics & Supply Chain

LSET PRO PLAN

Are you eager to enter the workforce fully prepared? Look no further than our LSET PRO PLAN! This is an add-on program that you can select during your course enrolment, it offers a personalised learning experience that helps you succeed in your course, build your technical portfolio, and advance your professional journey.
Curious about how to embark on this journey? Simply “click” here to learn more and kickstart your professional development with us!

About the Course

LSET’s AI-Powered Application Development Course offers a practical deep dive into using artificial intelligence to design, develop, and enhance modern applications. This course combines theoretical concepts with hands-on labs, empowering you to build, integrate, test, and deploy AI-powered application features for real-world use cases. You will explore AI-assisted development, generative AI, LLM integration, AI APIs, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents, equipping you to develop intelligent applications for today’s evolving digital landscape.

Technologies & Tools Covered in This Course

OpenAI APIs – AI APIs used to integrate large language models into applications for text generation, conversational experiences, structured outputs, and intelligent workflows.
Google Gemini APIs – Generative AI APIs for building AI-powered application features, content generation, reasoning, and multimodal experiences.
Claude APIs – Large language model APIs used to develop conversational interfaces, content processing, analysis, and intelligent application workflows.
LangChain – Framework for developing applications powered by language models, including prompt workflows, tool integration, agents, and retrieval-based applications.
Vector Databases – Technologies used to store and retrieve embeddings for semantic search and Retrieval-Augmented Generation (RAG) applications.
AI Coding Assistants – AI-powered development tools used for code generation, debugging, refactoring, documentation, and accelerating application development.

Complementary Workshops

Git Management

Learn More
Agile Project Management

Agile Project Management

Learn More

Team Building

Learn More

Personality Development

Learn More

Interview Preparation

Learn More

Course Information

Course Intakes

1st January

1st February

1st March

1st April

1st May

1st June

1st July

1st August

1st September

1st October

1st November

1st December

Entry Criteria

  • Basic understanding of Python programming
  • Ability to complete assignments on time
  • Ability to work in Group
  • If a potential student’s first language is not English, they must also reach the English Language requirements of either any one of the following - IELTS 5.5 or NCC Test or GCE “O” Level English C6.
  • Have access to personal laptop

Course Highlights

  • Hands-on Sessions
  • Project-based Learning
  • Live or Offline Capstone Project
  • Real world development experience
  • Industry Mentors
  • Interactive Teaching Methodologies

Evaluation Criteria

  • 18 Coding exercises
  • 5 Assignments
  • 5 Quizzes
  • Capstone Project
  • Group activities
  • Presentations

Learning Objectives

  • Understand AI-powered application development.
  • Learn Generative AI and LLM fundamentals.
  • Use AI tools for software development.
  • Apply effective prompt engineering techniques.
  • Integrate AI APIs into applications.
  • Build AI-powered chatbot applications.
  • Work with embeddings and vector databases.
  • Develop Retrieval-Augmented Generation (RAG) applications.
  • Build AI assistants and intelligent workflows.
  • Understand AI agents and tool integration.
  • Secure, test, and optimise AI applications.
  • Deploy AI-powered applications to production.

Weekday Batches

  • Batch 01Weekday Batches (09:00 AM – 10:00 AM)
  • Batch 02Weekday Batches (10:00 AM – 11:00 AM)
  • Batch 03Weekday Batches (11:00 AM – 12:00 PM)
  • Batch 04Weekday Batches (12:00 PM – 01:00 PM)
  • Batch 05Weekday Batches (01:00 PM – 02:00 PM)
  • Batch 06Weekday Batches (02:00 PM – 03:00 PM)
  • Batch 07Weekday Batches (03:00 PM – 04:00 PM)
  • Batch 08Weekday Batches (04:00 PM – 05:00 PM)
  • Batch 09Weekday Batches (05:00 PM – 06:00 PM)
  • Batch 10Weekday Batches (06:00 PM – 07:00 PM)
  • Batch 11Weekday Batches (07:00 PM – 08:00 PM)

Weekend Batches

  • Batch 01Weekend Batches (08:00 AM – 09:00 AM)
  • Batch 02Weekend Batches (09:00 AM – 10:00 AM)
  • Batch 03Weekend Batches (10:00 AM – 11:00 AM)
  • Batch 04Weekend Batches (11:00 AM – 12:00 PM)
  • Batch 05Weekend Batches (05:00 PM – 06:00 PM)
  • Batch 06Weekend Batches (06:00 PM – 07:00 PM)

Hands-on Workshops

Interview Preparation

CV Preparation

Personality Development

LARRY

Join the AI-Powered Application Development Course to master AI-driven application development. LSET provides hands-on, project-based training to help you build and deploy real-world intelligent applications.

Enroll & Pay UpfrontEnroll & Pay Per Module

Course Content

Browse the LSET interactive and practical curriculum

Module 1: Foundations of AI-Powered Application Development

>> Session 1: Introduction to AI Application Development
Topics

  • What is AI-powered application development?
  • AI applications vs traditional applications
  • Generative AI and Large Language Models (LLMs)
  • How AI fits into modern application architecture
  • Common AI application use cases

Hands-On:

  • Analyse existing AI-powered applications
  • Design the architecture of a simple AI application
 >> Session 2: AI Development Tools & Platforms
Topics

  • AI development platforms and tools
  • LLM providers and AI APIs
  • AI coding assistants
  • Prompt-based development
  • Choosing the right AI model for an application

Hands-On:

  • Set up an AI development environment
  • Test different AI models and compare their responses
>> Session 3: AI-Assisted Software Development
Topics

  • Using AI for code generation
  • Code explanation and documentation
  • Debugging with AI
  • Refactoring and code optimisation
  • Generating tests with AI

Hands-On:

  • Use AI coding tools to build and improve application components
  • Generate and review automated test cases
 >> Session 4: Prompt Engineering for Developers
Topics

  • Prompt engineering fundamentals
  • System, user, and developer instructions
  • Role-based prompting
  • Few-shot prompting
  • Structured output and JSON responses
  • Prompt validation and optimisation

Hands-On:

  • Create prompts for application features
  • Build a structured AI response workflow

Module 2: Building Applications with AI APIs

>> Session 5: Working with AI APIs
Topics

  • AI API fundamentals
  • API requests and responses
  • Authentication and API keys
  • Model parameters
  • Token usage and context windows

Hands-On:

  • Connect an application to an AI API
  • Send prompts and process AI responses
 >> Session 6: Integrating AI into Web Applications
Topics

  • AI integration architecture
  • Frontend and backend AI communication
  • Request and response handling
  • Error handling
  • Managing asynchronous AI requests

Hands-On:

  • Add an AI feature to a web application
  • Build an AI-powered text generation interface
>> Session 7: Building AI Chat Applications
Topics

  • Conversational AI architecture
  • Chat history and conversation context
  • Multi-turn conversations
  • Streaming AI responses
  • Conversation management

Hands-On:

  • Build an AI chatbot
  • Implement conversation history and context
 >> Session 8: AI-Powered Application Features
Topics

  • Text summarisation
  • Content generation
  • Classification
  • Information extraction
  • AI-powered recommendations

Hands-On:

  • Build multiple AI-powered application features
  • Integrate AI features into an existing application

Module 3: Working with Data, Documents & Knowledge

>> Session 9: AI Applications with Documents
Topics

  • Document-based AI applications
  • Document processing workflows
  • Text extraction
  • Document chunking
  • Managing large documents

Hands-On:

  • Build a document processing workflow
  • Extract and analyse information from documents
 >> Session 10: Embeddings & Vector Databases
Topics

  • What are embeddings?
  • Semantic search
  • Vector similarity
  • Vector databases
  • Storing and retrieving embeddings

Hands-On:

  • Generate embeddings from application data
  • Implement semantic search using a vector database
>> Session 11: Retrieval-Augmented Generation (RAG)
Topics

  • What is RAG?
  • RAG architecture
  • Retrieval and generation workflow
  • Context injection
  • Improving response accuracy

Hands-On:

  • Build a basic RAG application
  • Create a question-answering system using documents
 >> Session 12: Advanced RAG Applications
Topics

  • Retrieval strategies
  • Metadata filtering
  • Chunking strategies
  • RAG evaluation
  • Handling incorrect or missing information

Hands-On:

  • Improve the RAG application
  • Build a knowledge-base assistant

Module 4: Building Intelligent AI Features

>> Session 13: Function Calling & Tool Use
Topics

  • Function calling concepts
  • Structured AI outputs
  • Connecting LLMs with application functions
  • Tool selection
  • External API integration

Hands-On:

  • Connect an LLM to application functions
  • Build an AI assistant that can perform actions
 >> Session 14: Building AI Assistants
Topics

  • AI assistant architecture
  • Context management
  • Memory concepts
  • Tool-enabled assistants
  • Conversation workflows

Hands-On:

  • Build an AI-powered assistant
  • Add memory and application tools
>> Session 15: Introduction to AI Agents
Topics

  • What are AI agents?
  • AI agents vs chatbots
  • Agent workflows
  • Planning and task execution
  • Agent tools and decision-making

Hands-On:

  • Build a simple AI agent
  • Connect the agent to external tools
 >> Session 16: Multi-Step AI Workflows
Topics

  • AI workflow orchestration
  • Sequential tasks
  • Conditional workflows
  • Human-in-the-loop workflows
  • Agent collaboration concepts

Hands-On:

  • Build a multi-step AI workflow
  • Create an AI system that completes a business task

Module 5: AI Application Engineering

>> Session 17: AI Application Architecture
Topics

  • Designing AI-powered application architecture
  • Frontend, backend, and AI layers
  • AI service architecture
  • Managing application state
  • Scalability considerations

Hands-On:

  • Design an end-to-end AI application architecture
  • Implement the core application structure
 >> Session 18: AI Application Security
Topics

  • Protecting AI APIs
  • Secure API key management
  • Prompt injection
  • Data privacy
  • Input validation
  • Access control

Hands-On:

  • Secure an AI-powered application
  • Identify and mitigate common AI security risks
>> Session 19: AI Application Testing & Evaluation
Topics

  • Testing AI-powered applications
  • Evaluating AI responses
  • Accuracy and relevance
  • Hallucination detection
  • Prompt and model evaluation
  • Automated evaluation concepts

Hands-On:

  • Create an AI application test suite
  • Evaluate and improve AI responses
 >> Session 20: AI Cost & Performance Optimisation
Topics

  • Token management
  • Model selection
  • Response latency
  • Caching strategies
  • Prompt optimisation
  • Managing AI API costs

Hands-On:

  • Optimise an AI-powered application
  • Reduce response time and unnecessary AI usage

Module 6: Production, Deployment & Advanced AI Development

>> Session 21: Deploying AI Applications
Topics

  • Preparing AI applications for production
  • Environment configuration
  • Production API integration
  • Application deployment
  • Monitoring and logging

Hands-On:

  • Deploy an AI-powered application
  • Configure production AI services
 >> Session 22: AI Application Monitoring
Topics

  • Application monitoring
  • AI response monitoring
  • Error tracking
  • Usage analytics
  • Model performance monitoring

Hands-On:

  • Add monitoring and logging to an AI application
  • Track AI usage and application performance
>> Session 23: Advanced AI Application Patterns
Topics

  • Multi-model AI applications
  • Model routing
  • AI pipelines
  • Human-in-the-loop systems
  • Combining RAG, tools, and agents

Hands-On:

  • Build an advanced AI application workflow
  • Combine multiple AI capabilities into one application
 >> Session 24: From Prototype to Production AI Application
Topics

  • AI application development lifecycle
  • Proof of Concept (PoC) to MVP
  • Application scalability
  • Production readiness
  • Documentation and maintenance
  • Future trends in AI application development

Hands-On:

  • Review and improve a complete AI application
  • Prepare an application for production deployment

*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.

Note: Students are responsible for obtaining and maintaining any required software subscriptions, licenses, or tools needed for this course. These costs are not included in the course fees.

Having Doubts?

Contact LSET Counsellor

We love to answer questions, empower students, and motivate professionals. Feel free to fill the form and clear up your doubts related to our AI-Powered Application Development course.

Best Career Paths

AI Application Developer

Build and integrate intelligent features into modern web and software applications using AI technologies.

Generative AI Developer

Develop applications powered by LLMs, generative AI APIs, and intelligent content generation.

AI Engineer

Design and implement AI-powered solutions that integrate models, APIs, data, and application workflows.

AI Solutions Developer

Create practical AI solutions that address business problems through automation and intelligent application features.

AI Agent Developer

Build intelligent AI agents capable of using tools, processing information, and completing multi-step tasks.

AI Software Engineer

Develop, test, optimise, and deploy production-ready applications enhanced with AI capabilities.

Top Companies Hiring Full Stack Developers

Google

GOOGLE

Accenture

ACCENTURE

EY

EY

Microsoft

MICROSOFT

Faculties & Mentors

Mayur Ramgir

Mayur Ramgir

View Profile

Mentor Panel

Otavio Santana LSET Mentor

Otavio Santana

View Profile

Why Learn AI-Powered Application Development?

  • Growing AI Adoption - Organisations are rapidly integrating AI into modern applications.
  • High Demand - Businesses need developers who can build AI-enabled applications.
  • Future-Ready Skills - Gain practical skills aligned with the evolving software development landscape.
  • Smarter Applications - Use AI to automate tasks, generate content, analyse information, and enhance user experiences.
  • Cross-Industry Relevance - AI-powered applications are transforming finance, healthcare, retail, education, and more.
  • Competitive Edge - Develop specialised AI application skills that can strengthen your career opportunities.

Who Should Apply for this course?

  • Software Developers - Looking to integrate AI into existing and new applications.
  • Web Developers - Wanting to build intelligent web applications and AI-powered features.
  • Application Developers - Seeking practical experience with LLMs, AI APIs, RAG, and AI agents.
  • Technology Professionals - Interested in using AI to improve software development workflows.
  • Aspiring AI Developers - Wanting to build a career in AI-powered application development.
  • Entrepreneurs & Innovators - Looking to turn ideas into practical AI-powered applications.

About the Course

This practical and interactive course will help you design, develop, and deploy AI-powered applications for real-world use cases. The curriculum combines modern application development practices with Generative AI, LLMs, AI APIs, prompt engineering, RAG, and AI agents. You will gain hands-on experience building intelligent application features, integrating AI services, creating AI workflows, and developing production-ready AI solutions.

The Course Provides Shared Expertise by

LSET Trainers

LSET Trainers

Industry Expert

Industry Expert

Top Employers

Top Employers

Skills You will Gain

  • AI Application Development
  • Generative AI Integration
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI API Integration
  • AI-Assisted Coding
  • Chatbot Development
  • Embeddings & Vector Databases
  • Retrieval-Augmented Generation (RAG)
  • AI Agent Development
  • AI Workflow Automation
  • AI Application Deployment

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.
  • We constantly update the curriculum to include the latest releases and features.
  • We focus on teaching the industry's best practices and standards.
  • We let you explore the topics through guided hands-on sessions.
  • We provide industry professional mentor support to every student.
  • We give you an opportunity to work on real world examples.
  • Work with hands-on projects and assignments.
  • We help you build a technical portfolio that you can present to prospective employers.

Reasons to Choose LSET

  • Interactive live sessions by industry expert.
  • Practical classes with project-based learning with hands-on activities.
  • International learning platform to promote collaboration and teamwork.
  • Most up-to-date course curriculum based on current industry demand.
  • Gain access to various e-learning resources.
  • One-to-one attention to ensure maximum participation in the classes.
  • Lifetime career guidance to get the students employed in good companies.
  • Free lifetime membership to the LSET Alumni Club

What Will Be Your Responsibilities?

  • Work creatively in a problem-solving environment.
  • Ask questions and participate in class discussions.
  • Work on assignments and quizzes promptly.
  • Read additional resources on the course topics and ask questions in class.
  • Actively participate in team projects and presentations.
  • Work with the career development department to prepare for interviews
  • Respond promptly to the instructors, student service officers, career development officers, etc.
  • And most importantly, have fun while learning at LSET.
What Will Be Your Responsibilities
Benefits of LSET Certificate

What to expect after completing the course?

After earning your certificate from LSET, you can join the LSET’s Alumni club. There are countless benefits associated with the Alumni Club membership. As a member of LSET Alumni, you can expect the following;
  • LSET to hold your hand to find a successful career
  • Advice you on choosing the right job based on your passion and goals
  • Connect you with industry expert for career progression
  • Provide you opportunities to participate in events to keep yourself updated
  • Provide you with a chance to contribute to the game-changing open-source projects
  • Provide you with a platform to shine by allowing you to speak at our events

TOOLS & TECHNOLOGIES YOU WILL LEARN FROM THIS COURSE

OpenAI API

OpenAI API

Google Gemini icon

Google Gemini API

Claude Icon

Claude API

LangChain Icon

LangChain

Vector Databases

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