Overview
This course is designed to teach participants how to build and manage AI agents using advanced techniques such as prompt engineering, LLM (Large Language Model) integration, and managing conversation context. With practical exercises, participants will learn to create secure and efficient AI agents, ensuring safety and human oversight while developing powerful AI solutions.
Accreditation
This course is delivered by the London School of Innovation as part of its Professional Courses portfolio. It does not carry external accreditation.
Programme Structure
The course is divided into the following modules:
- Agentic AI Overview
- LLM Integration Techniques
- Managing Conversation Context
- Advanced Prompt Engineering
- Developing LLM Agents
- Safety and Human Oversight
- Semantic Retrieval and Embeddings
- Secure Data Integration
- Fine-Tuning and Deployment
Audience
Ideal for professionals who want to build practical GenAI agents, including software engineers, product managers, data specialists, technical leads, and innovators exploring applied LLM workflows.
Lecturers
LSI Academic Faculty
Key information
Duration
- Full-time
- 2 months
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
This option indicates that the program starts every 2 weeks, making it flexible for participants to join at any time.
Language
English
Duolingo English Test 95
TOEFL® IBT 70
PTE Academic 50
IELTS 5.5
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- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
Online
- Self-paced
- Continuous support with feedback on request
- Individual work/assignments (with online group discussions)
Campus Location
- London Borough of Sutton, United Kingdom
Disciplines
Artificial Intelligence Machine Learning View 12 other Short Courses in Machine Learning in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Duolingo English Test 95
TOEFL® IBT 70
PTE Academic 50
IELTS 5.5
Prepare for Your English Test
Cathoven AI IELTS Preparation AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Participants should have a strong interest in AI technologies, particularly in the context of agent-based models and large language models (LLMs). A background in software development, data science, or AI would be beneficial but not mandatory. This course is designed for professionals who wish to expand their knowledge in AI agent engineering.
Work experience
At least 1–2 years of professional experience in software development, machine learning, data science, or a related field. Familiarity with AI concepts and technologies will be beneficial for understanding advanced topics covered in this course.
Technological requirements
Participants must have access to a computer with a stable internet connection. Basic familiarity with programming languages (such as Python) and experience with AI tools or frameworks (such as TensorFlow or PyTorch) is recommended, but not required.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1450 GBP / full≈ 1450 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1450 GBP / full≈ 1450 GBP / full
Additional Details
The tuition fee for this program is £1,450, which covers access to all course materials, online sessions, and personalized AI learning support.
Funding
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