Advance your expertise at the forefront of the United Kingdom’s AI transformation with our Advanced Generative AI and Agentic AI Training in the United Kingdom. Designed for the UK’s fast-growing tech sectors — including fintech, healthtech, public services, and enterprise digital transformation — this programme helps professionals move from experimentation to secure, enterprise-grade AI deployment.Built for GenAI engineers, solution architects, and automation leaders, you’ll learn to industrialise LLMs, design sovereign and hybrid RAG systems, and orchestrate scalable multi-agent architectures using frameworks like LangChain and LangGraph.With a strong focus on UK GDPR, the Data Protection Act 2018, and AI governance standards, the programme ensures compliance, security, and production readiness across UK cloud environments.Develop high-impact, agentic AI systems that deliver measurable ROI and future-proof your organisation’s competitive edge.Enroll now!
Advanced Generative Ai and Agentic Ai Training in United Kingdom
Elevate your skills with Techpratham’s Advanced Generative AI and Agentic AI Training in United Kingdom—innovate, create, and lead in AI.
Level
Advanced
Duration
8 Weeks
Placement Client
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About Advanced Generative Ai and Agentic Ai Training in United Kingdom
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Advanced Generative Ai and Agentic Ai Training in United Kingdom Course Curriculum
High Demanding Courses
Additional Program Highlights
Comprehensive study materials and resources
Professional resume building session
Master your interview skills
Real-world project demonstrations
Upcoming Batches
Can't find a batch you were looking for?
Who Should Take Advanced Generative Ai and Agentic Ai Training in United Kingdom
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Job Roles For Advanced Generative Ai and Agentic Ai Training in United Kingdom
Generative AI Solutions Architect
Cognitive Architecture Designer
AI Agent Onboarding Manager
Agentic AI Engineer
RAG (Retrieval-Augmented Generation) Specialist
AI Workflow Architect
LLM Operations (LLMOps) Engineer
Synthetic Data Engineer
AI Product Manager (Agentic Systems)
Multi-Agent Systems (MAS) Architect
AI Agent Orchestration Specialist
Responsible AI & Governance Lead
Generative AI Solutions Architect
Cognitive Architecture Designer
AI Agent Onboarding Manager
Key Projects
Advanced Generative Ai and Agentic Ai Training in United Kingdom
AI-Powered Local Business Insights – London
Build a Generative AI system that provides real-time insights into local businesses in London. The AI agent can analyze reviews, generate actionable recommendations, and help business owners make data-driven decisions. This project demonstrates how AI can transform local commerce by combining automated data retrieval with intelligent content generation. Key Highlights:
Smart Event Planning Assistant – Manchester
Create an AI-driven event planner tailored for Manchester. This system can autonomously suggest venues, catering services, schedules, and promotional strategies by analyzing user inputs and local data. Agentic AI enables multi-step decision-making and automation, while Generative AI produces human-like, context-aware recommendations. Key Highlights:
Real-Time Traffic & Commuting Advisor – Birmingham
Develop an AI assistant that provides live traffic updates and optimal commuting routes for Birmingham residents. Combining predictive analytics with Generative AI, the system offers proactive alerts and personalized route suggestions to reduce travel time. This project emphasizes real-world application of multi-agent AI for local urban mobility. Key Highlights:
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Latest Hiring
Recently Placed Candidates
Latest Hiring
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
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Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
What is the main focus of this Advanced Generative AI and Agentic AI course?
Who is the ideal candidate for this training program?
What background knowledge or skills are recommended before enrolling in this course?
How long is the course duration?
Are hands-on projects included in this course offered by Techpratham?
Is a certification awarded upon course completion?
Explain how you design an agentic AI system to autonomously decide when to ask for human intervention without degrading performance.
How would you optimize a large generative model for low‑latency inference in a production environment?
Describe a production‑ready pipeline for continuously training and validating a multimodal generative model.
How would you handle catastrophic forgetting in continual learning for generative AI?
Explain how you would detect and mitigate hallucinations in a generative AI model.
How have you applied explainability techniques in generative AI, and when is it critical to use them?
Industry-Recognized Certification
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