Elevate your career with Techpratham’s Advanced Generative AI and Agentic AI Training in London, a premier program designed for Machine Learning Engineers, Software Developers, Data Scientists, Graduates, Tech Enthusiasts, Business Leaders, Product Managers, and Entrepreneurs looking to lead the autonomous intelligence revolution. Our live interactive classes provide hands-on experience in building complex multi-agent systems and sophisticated generative workflows, ensuring you stay at the forefront of 2026’s tech landscape. Most importantly, we bridge the gap to your dream role with our 100% assured placement program, offering direct access to London’s top-tier hiring partners and personalized career mentorship.
High Demanding
Advanced Generative Ai and Agentic Ai Training in London
Master Advanced Generative & Agentic AI skills with Techpratham’s hands-on training in London—learn cutting-edge AI techniques and applications.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
Placement Client
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About Advanced Generative Ai and Agentic Ai Training in London
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Advanced Generative Ai and Agentic Ai Training in London Course Curriculum
High Demanding Courses
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
Can't find a batch you were looking for?
Who Should Take Advanced Generative Ai and Agentic Ai Training in London
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 London
Agentic AI Engineer
Multi-Agent Systems (MAS) Architect
Generative AI Solutions Architect
LLM Operations (LLMOps) Engineer
RAG (Retrieval-Augmented Generation) Specialist
AI Agent Orchestration Specialist
Cognitive Architecture Designer
Synthetic Data Engineer
AI Workflow Architect
Responsible AI & Governance Lead
AI Agent Onboarding Manager
AI Product Manager (Agentic Systems)
Agentic AI Engineer
Multi-Agent Systems (MAS) Architect
Generative AI Solutions Architect
Key Projects
Advanced Generative Ai and Agentic Ai Training in London
Test – <p><strong>London Local "Map Pack" Content Orchestrator</strong></p>
Scenario: Test
Outcome: Test
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
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
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?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
What is the difference between Generative AI and Agentic AI?
What are the key prerequisites for this advanced training?
Does this course cover "Agentic Workflows" like ReAct or Reflection?
What tools and frameworks will be used during the training?
Will we learn how to build Multi-Agent Systems (MAS)?
What is "Agentic RAG" and how does it differ from standard RAG?
You’ve trained a multimodal generative model that hallucinate plausible but incorrect facts when given ambiguous prompts; how do you diagnose and mitigate this behavior in production?
Explain how you would design an agentic AI system to autonomously plan tasks across dynamic environments with partial observability?
How do you evaluate the reproducibility and robustness of generative AI outputs across different data distributions?
Describe how you’d implement differential privacy in training a large language model for sensitive enterprise data.
In generative pipelines, how can you reconcile model creativity with strict safety & compliance without sacrificing usability?
What practical steps are needed to deploy an agentic AI in financial decision‑making while minimizing risk & regulatory exposure?
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