Professional Development Programmes

Expertise delivered
by those who live it

We bring together world-class practitioners and ambitious professionals for intensive, high-impact training that bridges the gap between classroom theory and industry reality.

3
Specialist Programmes
30
Seats Per Cohort
18
Hours Per Programme
3
Days Per Programme
"Knowledge without application is merely information."
Our founding principle
Our Mission

Built to close the
knowledge gap

01 — Practitioner-Led
Real experience, not theory

Every programme is designed and delivered by active industry specialists who have spent decades solving the problems your organisation faces today — 25 to 30+ years of front-line experience in every session.

02 — Outcome-Focused
Impact from day one

Structured as a 09:00–15:00 intensive day so delegates leave with practical knowledge they can apply immediately. We measure success by what you do differently afterwards.

03 — Intimate Cohorts
Quality over volume

Strictly capped at 30 seats per cohort. Small groups produce deeper learning, richer discussion and genuine access to the instructor — not just a seat in a room.

What We Do

Three disciplines.
One standard.

9 modules. 18 hours. 3 intensive days. Each programme delivers live demonstrations and real case studies — not textbook theory.

⚙️
AI in Oil & Gas

A sector-specific deep dive into how AI is reshaping upstream operations — seismic interpretation, reservoir modelling, drilling optimisation and predictive maintenance. Taught by Prof Ali Qubian.

📡
Development of 5G Networks

The complete 5G story — from evolution of mobile networks and global standards through to architecture, security, deployment economics and the path to 6G. Taught by Prof Kahtan Aziz.

🤖
Understanding AI

A clear, jargon-free introduction for every professional — live demos of ChatGPT, Copilot, Gemini and Claude, real-world applications, the EU AI Act, and how to build an AI strategy. Taught by Prof Faris Muhammad.

Bespoke Programmes

We design and deliver custom training programmes tailored to your organisation's specific learning objectives — covering advanced topics across AI, technology, engineering, and industry-specific applications.

Our Approach

How every programme
is structured

01
Morning: Foundations & Context

Each day opens (09:15–10:45) with a structured lecture and facilitated discussion. Delegates connect theory to their own organisational context.

02
Midday: Live Demonstration & Case Study

The second block (11:00–12:30) moves from principle to practice — real tools demonstrated live using genuine case studies from the instructor's own career.

03
Afternoon: Workshop & Group Activity

Delegates apply the session's learning in structured group workshops (13:15–14:30) — you learn as much from the professionals in the room as from the instructor.

04
Close: Reflection & Next Steps

Every day closes (14:45–15:00) with a facilitated Q&A and reflection. Delegates leave with clear actions to carry forward — and ultimately, back into their roles.

Who We Serve

Built for ambitious professionals

All three programmes are open to all levels. No AI or programming background required for any course.

🧑‍💼
Individual Professionals

Engineers, analysts, managers and specialists seeking to deepen expertise and earn a recognised certificate.

👥
Teams & Departments

Groups of 5–10 seeking shared language and unified capability uplift, with a dedicated cohort option.

🏢
Corporate Clients

Organisations of 11+ delegates benefit from custom content, private delivery, dedicated account management and volume pricing.

🌍
International Delegates

Our programmes welcome international participants. Contact us to discuss logistics and specific requirements.

Next cohort: 12 May 2026

Limited to 30 seats per programme. All three run simultaneously. Lunch & refreshments included.

Our Faculty

Learn from those
inside the field

Not career academics — active industry specialists who bring decades of front-line experience into every session.

AI in Oil & Gas — Lead Instructor
Prof Ali Qubian
⚙ AI in Oil & Gas
Prof Ali Qubian
Senior Specialist & EOR Cluster Leader | 30+ years upstream oil & gas experience

Prof Ali Qubian is a distinguished petroleum engineer and educator with over 30 years of combined academic, industrial and research experience in the upstream oil and gas sector. He holds a First Class Honours BEng and a PhD in Enhanced Oil Recovery (EOR) from the University of Strathclyde, Glasgow.

He has held senior roles across academia and industry — including Senior Lecturer in Reservoir Engineering at London South Bank University and Engineering Consultant at a major international energy company. He currently serves as EOR Cluster Leader within a leading national oil company's Research & Technology group.

30+
Years Experience
PhD
Strathclyde
1st
Class Honours
Enhanced Oil Recovery Reservoir Engineering AI in Energy Production Optimisation PhD — Strathclyde

Areas of Expertise

Enhanced Oil Recovery (EOR) — Advanced screening, evaluation and AI-driven optimisation of EOR techniques.
Reservoir Simulation & Modelling — AI-driven simulation, history matching, production forecasting.
AI & Machine Learning in O&G — Application to seismic, drilling and field management challenges.
Production Optimisation — Automated monitoring, lift optimisation, choke management and integrated asset modelling.
Asset Integrity & Predictive Maintenance — Anomaly detection, AI-powered inspection using drones.
Technology Screening & Innovation — Evaluation and deployment of emerging technologies in R&T environments.

Career Timeline

Selected roles across a 30-year career

Present
EOR Cluster Leader
National Oil Company — Research & Technology Group

Leads advanced technology screening and AI-driven innovation for reservoir subsurface challenges.

Prior
Engineering Consultant
Major International Energy Company

Specialist EOR and reservoir engineering consultancy, advising on field development strategy and the application of emerging technologies.

Academic
Senior Lecturer in Reservoir Engineering
London South Bank University

Delivered undergraduate and postgraduate teaching in reservoir engineering with active industry engagement throughout.

Education & Qualifications

PhD — Enhanced Oil Recovery
University of Strathclyde, Glasgow

Doctoral research on EOR techniques and their application to complex subsurface reservoirs.

BEng (Hons) First Class
University of Strathclyde, Glasgow

First Class Honours engineering degree establishing the rigorous technical grounding for three decades of practice.

5G Networks — Lead Instructor
Prof Kahtan Aziz
📡 5G Networks
Prof Kahtan Aziz
Senior Lecturer, Anglia Ruskin University | Senior Member, IEEE | 30+ years experience

Prof Kahtan Aziz is a Senior Lecturer at Anglia Ruskin University's Faculty of Science and Engineering and a Senior Member of the IEEE. He holds a PhD in Electrical and Electronic Engineering from the University of Bristol and a BSc in Control and Systems Engineering.

With over 30 years spanning academia and industry, he brings unique depth to mobile technology education. Prof Aziz spent eight years as Engineering Consultant and Team Leader at NEC's European R&D Centre, contributing to 3G development. He subsequently served as Associate Professor and Head of Electrical Engineering at Al-Ghurair University in Dubai.

30+
Years Experience
IEEE
Senior Member
PhD
Univ. of Bristol
8 yrs
NEC R&D
5G & Mobile Networks Signal Processing Wireless Communications IEEE Senior Member PhD — Bristol

Career Timeline

Present
Senior Lecturer
Anglia Ruskin University — Faculty of Science and Engineering

Delivers specialist teaching in mobile communications and wireless networks, combining research with professional education.

Prior
Associate Professor & Head of Electrical Engineering
Al-Ghurair University, Dubai

Led the Electrical Engineering department, overseeing curriculum, faculty and research in mobile communications.

8 Years
Engineering Consultant & Team Leader
NEC European Research & Development Centre

Contributed to the development of 3G mobile technology, building the deep practical knowledge he brings to his 5G programme.

Education & Qualifications

PhD — Electrical & Electronic Engineering
University of Bristol

Doctoral research providing the rigorous technical foundation for a career spanning industry R&D and academic leadership.

BSc — Control & Systems Engineering
Engineering Faculty

Foundation of a 30+ year career bridging academia, industry consultancy and professional education.

Understanding AI — Lead Instructor
Prof Faris Muhammad
🤖 Understanding AI
Prof Faris Muhammad
Senior Director of Enterprise AI | 25+ years industry experience

Faris Muhammad is a Senior Director of Enterprise AI leading AI and machine learning strategy at a global technology company's CTO office. With over 25 years of experience delivering large-scale technology solutions across telecommunications and enterprise sectors, he brings a rare combination of strategic vision and deep technical credibility.

He holds a PhD from the University of Strathclyde and an MBA in Strategy from Imperial College Business School. He is a published researcher — his work on AI-driven network log classification has been featured in IEEE journals and on arXiv.

25+
Years Experience
PhD
Strathclyde
MBA
Imperial College
IEEE
Published Researcher
Enterprise AI AI Strategy Generative AI IEEE Published Researcher PhD — StrathclydeImperial College MBA

Career Timeline

Present
Senior Director of Enterprise AI
Global Technology Company — CTO Office

Leads AI and ML strategy, defining how capabilities are developed, deployed and governed across the organisation.

Ongoing
Published AI Researcher
IEEE Journals & arXiv

Published research on AI-driven network log classification, maintaining a direct connection between cutting-edge research and practical application.

25+ Years
Senior Technology Leader
Telecoms & Enterprise Sectors

25+ years delivering large-scale technology solutions, building the breadth of experience that underpins his ability to explain AI clearly to any audience.

Ready to learn from the best?

Next cohort begins Monday 12 May 2026. Limited to 30 seats per programme.

Our Programmes

Three specialist pathways

9 modules · 18 hours · 3 intensive days. Live demonstrations and real case studies — not textbook theory.

⚙ Energy & Technology

AI in Oil & Gas Industry

A focused 3-day programme exploring how AI is transforming exploration, drilling, production and operations. Every example, case study and discussion is rooted in oil and gas operations.

3 Days
·
9 Modules
·
18 Hours
·
Max 30 Seats
·
Next: 12 May 2026

Programme Modules

Module 01 · Day 1
AI Fundamentals for Oil & Gas Professionals
  • What is AI, machine learning, and data analytics?
  • Why oil and gas is a natural fit for AI
  • Overview of AI adoption across the energy sector
  • Key terminology — no jargon, plain language
Module 02 · Day 1
Data in Oil & Gas — The Fuel for AI
  • Types of data generated upstream and downstream
  • Seismic, well log, production and sensor data
  • Data quality, integration, and governance challenges
  • Building the data foundation for AI projects
Module 03 · Day 1
AI in Exploration & Seismic Interpretation
  • How AI speeds up seismic data processing
  • Automated fault and horizon detection
  • AI-assisted prospect identification and ranking
  • Case study: reducing exploration cycle time
Module 04 · Day 2
AI in Drilling Optimisation
  • Real-time drilling parameter optimisation using AI
  • Stuck pipe prediction and automated alerts
  • AI-guided geosteering and trajectory planning
  • Case study: reducing non-productive time (NPT)
Module 05 · Day 2
AI in Reservoir Management & EOR
  • AI-driven reservoir simulation and modelling
  • Production forecasting and decline curve analysis
  • AI for Enhanced Oil Recovery (EOR) screening
  • Case study: improving recovery factor with AI
Module 06 · Day 2
AI in Production Optimisation
  • Automated well performance monitoring
  • AI for lift optimisation and choke management
  • Integrated asset modelling with machine learning
  • Case study: increasing production uptime
Module 07 · Day 3
AI for Asset Integrity & Predictive Maintenance
  • Predictive vs. preventive maintenance — the AI difference
  • Anomaly detection in pipelines and facilities
  • AI-powered inspection using drones and imaging
  • Reducing unplanned shutdowns and safety incidents
Module 08 · Day 3
Implementing AI — Strategy & Governance
  • How to identify and prioritise AI use cases
  • Building a business case for AI investment
  • Managing change, skills, and organisational readiness
  • Ethical AI, data privacy, and responsible deployment
Module 09 · Day 3
Group Showcase & Next Steps
  • Group activity: design an AI use case for your organisation
  • Present to the group and receive expert feedback
  • Recommended tools, platforms, and further learning
  • Certificate ceremony
What You Will Achieve
Know how and where AI is applied across the oil and gas value chain
Identify high-value AI use cases specific to your operations
Ask the right questions when assessing AI tools and vendor proposals
Build a business case for AI investment to stakeholders
Understand governance, risk and ethical considerations for AI in energy
Who Should Attend
  • Reservoir and petroleum engineers
  • Drilling and production engineers
  • Asset and operations managers
  • Geoscientists and subsurface professionals
  • HSE and asset integrity teams
  • Digital transformation and IT professionals
  • Business leaders in the energy sector
Prerequisites
  • No AI or programming knowledge required
  • Oil and gas industry familiarity helpful
  • General engineering or science background useful
  • Laptop or tablet with internet access
  • Open to professionals at all career stages
  • Suitable for technical and non-technical roles
Daily Schedule

09:00 – 15:00 each day

TimeSessionFormat
09:00 – 09:15Daily brief & recapOpening
09:15 – 10:45Module — Presentation & DiscussionLecture
10:45 – 11:00Break
11:00 – 12:30Module — Demo & Case StudyDemo
12:30 – 13:15Lunch & Networking
13:15 – 14:30Module — Workshop & Group ActivityWorkshop
14:30 – 14:45Break
14:45 – 15:00Q&A, wrap-up & daily reflectionClosing
📡 Telecommunications

Development of 5G Networks

A focused 3-day programme covering 5G evolution, architecture, key technologies, deployment strategies and real-world applications — from 10 Gbps speeds and <1 ms latency to the path to 6G.

3 Days
·
9 Modules
·
18 Hours
·
Max 30 Seats
·
Next: 12 May 2026

Programme Modules

Module 01 · Day 1
Evolution of Mobile Networks — 1G to 5G
  • The journey from 1G voice to 5G hyper-connectivity
  • Why 4G was insufficient — the drivers behind 5G
  • 5G capabilities: 10 Gbps, <1ms latency, massive IoT
  • Key global milestones and current 5G rollout status
Module 02 · Day 1
5G Use Cases & Service Requirements
  • Enhanced Mobile Broadband (eMBB)
  • Ultra-Reliable Low-Latency (URLLC) — critical infrastructure
  • Massive Machine-Type Communications (mMTC)
  • Smart factories, connected hospitals, autonomous transport
Module 03 · Day 1
Spectrum & Global Standardisation
  • Sub-6 GHz vs mmWave — coverage vs capacity trade-offs
  • How spectrum is allocated and licensed across regions
  • 3GPP Release 15 and beyond — standards defining 5G
  • ITU IMT-2020 framework and international alignment
Module 04 · Day 2
5G Network Architecture
  • 5G Core (5GC) and Next-Generation RAN explained
  • Service-Based Architecture (SBA) — cloud-native design
  • Standalone (SA) vs Non-Standalone (NSA) deployment
  • Network slicing — multiple virtual networks on one infrastructure
Module 05 · Day 2
Key Enabling Technologies
  • Massive MIMO and beamforming
  • OFDM waveforms and small cell densification
  • Network Functions Virtualisation (NFV) and SDN
  • Multi-Access Edge Computing (MEC)
Module 06 · Day 2
5G Security & Privacy
  • Authentication and identity management in 5G
  • Data privacy by design — how 5G improves on 4G security
  • Threats specific to 5G and how standards address them
  • Regulatory considerations and compliance landscape
Module 07 · Day 3
Deployment Strategies & Economics
  • NSA vs SA rollout paths — operator strategies and trade-offs
  • Infrastructure: towers, small cells, fibre backhaul
  • Cost models and the business case for 5G investment
  • Open RAN and infrastructure sharing
Module 08 · Day 3
Industry Applications & Global Case Studies
  • Healthcare: remote diagnostics, connected ambulances, robotic surgery
  • Autonomous vehicles and intelligent transport systems
  • Industry 4.0: smart manufacturing, AR/VR, digital twins
  • Case studies: South Korea, USA, China, European deployments
Module 09 · Day 3
Challenges, Future Outlook & Beyond 5G
  • Remaining challenges: spectrum costs, energy, regulation
  • The road to 6G — terahertz spectrum and AI-driven networks
  • Satellite integration and non-terrestrial networks (NTN)
  • Preparing your organisation for the 5G/6G transition
What You Will Achieve
Explain 5G architecture and enabling technologies with confidence
Navigate 3GPP releases and the global standardisation landscape
Assess 5G use cases across healthcare, manufacturing and smart cities
Compare NSA and SA rollout strategies and appreciate 5G economics
Understand the trajectory toward 6G and non-terrestrial connectivity
Who Should Attend
  • Telecoms and network engineers
  • IT managers and solution architects
  • Product managers and strategists
  • Government and regulatory professionals
  • Business leaders evaluating 5G adoption
  • Healthcare, transport and smart city teams
  • Anyone working in a 5G-impacted industry
Prerequisites
  • No deep engineering knowledge required
  • Basic understanding of mobile networks helpful
  • General IT or technology awareness useful
  • Curiosity about the future of connectivity
  • Open to all professional backgrounds
Daily Schedule

09:00 – 15:00 each day

TimeSessionFormat
09:00 – 09:15Daily brief & recapOpening
09:15 – 10:45Module — Presentation & DiscussionLecture
10:45 – 11:00Break
11:00 – 12:30Module — Demo & Case StudyDemo
12:30 – 13:15Lunch & Networking
13:15 – 14:30Module — WorkshopWorkshop
14:30 – 14:45Break
14:45 – 15:00Q&A & daily reflectionClosing
🤖 Artificial Intelligence

Understanding Artificial Intelligence

A clear, jargon-free training course for any professional — live demos of ChatGPT, Copilot, Gemini and Claude, real-world applications, the EU AI Act, and how to build an AI strategy for your organisation.

3 Days
·
9 Modules
·
18 Hours
·
Max 30 Seats
·
Next: 12 May 2026

Programme Modules

Module 01 · Day 1
What is AI? — Demystifying the Buzzword
  • A plain-English explanation of Artificial Intelligence
  • How AI differs from traditional software
  • Key milestones: from early computers to ChatGPT
  • Separating AI fact from fiction
Module 02 · Day 1
How AI Learns — No Maths Required
  • The simple idea behind machine learning
  • How AI is trained using examples and data
  • Why data quality matters — and what "bias" means
  • Discussion: Where does AI get it wrong?
Module 03 · Day 1
AI Tools You Can Use Today
  • Overview of ChatGPT, Copilot, Gemini, and Claude
  • Writing better prompts to get better results
  • Live demo: AI for emails, summaries, and ideas
  • What AI tools are good at — and what they are not
Module 04 · Day 2
AI Across Industries — Real-World Examples
  • AI in healthcare, education, retail, and finance
  • AI in government, HR, marketing, and operations
  • Case study: organisations that got AI right
  • Case study: when AI caused problems — lessons learned
Module 05 · Day 2
AI in Your Organisation
  • Identifying where AI can save time and reduce effort
  • Common AI use cases by department and role
  • How to evaluate an AI tool before adopting it
  • Workshop: spotting AI opportunities in your own work
Module 06 · Day 2
AI, Jobs & the Future of Work
  • Which tasks AI will automate — and which it will not
  • New roles AI is creating across sectors
  • How to stay relevant and adapt your skills
  • Discussion: your questions about AI and careers
Module 07 · Day 3
Ethics, Trust & Responsible AI
  • Fairness, bias, and why AI can be discriminatory
  • Privacy, data rights, and what the law says
  • Who is responsible when AI makes a mistake?
  • The EU AI Act and what it means for organisations
Module 08 · Day 3
Planning for AI — A Practical Approach
  • How to start an AI initiative without a big IT team
  • Getting buy-in from colleagues and management
  • Measuring whether AI is actually helping
  • Common pitfalls and how to avoid them
Module 09 · Day 3
Group Showcase & Next Steps
  • Group activity: present one AI idea for your team
  • Peer discussion and expert feedback
  • Recommended next steps and further learning
  • Certificate ceremony
What You Will Achieve
Explain what AI is and how it works to anyone, in plain language
Get real value from ChatGPT, Copilot, Gemini and everyday AI tools
Identify where AI can genuinely save time and improve outcomes in your work
Take practical first steps toward adopting AI in your team or organisation
Recognise the risks and make informed AI decisions
Who Should Attend
  • Managers and team leaders
  • HR, marketing, and communications professionals
  • Teachers, trainers, and educators
  • Government and public sector workers
  • Healthcare and administrative staff
  • Finance, legal, and compliance teams
  • Anyone curious about AI — no exceptions
Prerequisites
  • No technical knowledge required
  • No coding or maths background needed
  • Basic computer use (email, internet)
  • Open mind and willingness to explore
  • Laptop or tablet with internet access
  • Suitable for complete beginners
Daily Schedule

09:00 – 15:00 each day

TimeSessionFormat
09:00 – 09:15Daily brief & recapOpening
09:15 – 10:45Module — Presentation & DiscussionLecture
10:45 – 11:00Break
11:00 – 12:30Module — Demo & Case StudyDemo
12:30 – 13:15Lunch & Networking
13:15 – 14:30Module — WorkshopWorkshop
14:30 – 14:45Break
14:45 – 15:00Q&A & daily reflectionClosing
✦ Tailored Programmes

Don't see exactly what you need?

We design and deliver fully bespoke training programmes tailored to your organisation's specific learning objectives — spanning many other advanced topics beyond our flagship courses. Whether you need a focused half-day session, a multi-day deep-dive, or an ongoing series — our instructors will build a programme that fits your team, your schedule, and your goals.

Advanced AI & Machine Learning Cybersecurity Fundamentals Cloud & Network Technologies Digital Transformation Industry-Specific Applications + Any Topic You Need
See pricing & enrol

Individual, team and corporate options. Lunch & refreshments included. Next cohort 12 May 2026.

Pricing & Enrolment

Reserve your place

Flexible options for individuals, teams and organisations. All programmes include lunch, refreshments and a certificate of completion. We respond within one business day.

Next Intake
Monday 12 May 2026
All three programmes begin simultaneously. Limited to 30 seats — book early.
📅 3 Days · 18 Hours
👥 Max 30 Seats
🎓 Certificate Included
🍽 Lunch & Refreshments
Pricing

Transparent, flexible pricing

Per person, per programme, excluding VAT. Confirmed pricing provided upon enquiry.

Individual
Solo Delegate
1 seat · Any programme
— TBC —
per person · excl. VAT
  • Full 3-day programme
  • Course materials & workbook
  • Online resource library (90 days)
  • Certificate of completion
  • Lunch & refreshments included
Most Popular
Team
Team Booking
5–10 seats · Any programme
— TBC —
per person · excl. VAT
  • Everything in Individual
  • Dedicated team cohort option
  • Post-course team workshop (1 hr)
  • Priority support channel
  • Group invoice available
Corporate
Corporate Package
11+ seats · Custom arrangement
— TBC —
per person · volume discounts apply
  • Everything in Team
  • Custom content & case studies
  • On-site or private virtual delivery
  • Dedicated account manager
  • Volume discounts available

All prices exclude VAT. Terms & conditions apply.

Included in Every Programme

Everything you need to succeed

📋
Course Materials & Workbook

Comprehensive notes, slides and a dedicated workbook for every module, provided digitally.

🎓
Certificate of Completion

A formal certificate awarded to every delegate — recognised for professional development.

📚
Online Resource Library

90-day access to an online resource library including curated reading and further learning.

🍽
Lunch & Refreshments

Included throughout each day — so delegates can focus entirely on learning.

🔬
Live Demonstrations

Real tools demonstrated live by the instructor every day — not pre-recorded.

🤝
Q&A & Networking Time

Daily Q&A sessions with the instructor plus structured networking time during each lunch.

Get in Touch

Make your
enquiry

Complete the form and we will respond within one business day with full details, confirmed pricing and a pro-forma invoice if required.

📧
Email
training@example.com
📞
Phone
+44 (0)20 1234 5678
🌐
Website
www.bavt-academy.co.uk
📅
Next Cohort
Monday 12 May 2026
Response Time
Within one business day

Your details will not be shared with third parties. We respond within one business day.

FAQ

Common questions

When does the next cohort start and how long is each programme?
+
All three programmes begin simultaneously on Monday 12 May 2026. Each programme runs for 3 days (18 hours total), from 09:00 to 15:00 each day — including breaks, lunch and networking, and a daily closing Q&A.
Do I need a technical background to attend?
+
All three programmes are explicitly designed so that no AI or programming knowledge is required. The Understanding AI programme requires nothing more than basic computer use and an open mind.
What is included in the programme fee?
+
Every programme includes the full 3-day training, a course materials workbook, 90-day online resource library access, a certificate of completion, and lunch and refreshments throughout each day. Team packages also include a post-course team workshop.
Can we book multiple programmes or delegates?
+
Yes. Delegates can attend more than one programme and organisations can book across multiple programmes simultaneously. Team (5–10) and Corporate (11+) packages are available with dedicated support and volume pricing.
Can programmes be delivered privately for our organisation?
+
Yes. Corporate clients (11+ delegates) can arrange private cohort delivery — virtually or on-site — with custom content, tailored case studies and scheduling that suits your team.
When will confirmed pricing be available?
+
Confirmed pricing will be communicated directly to all enquirers. We recommend submitting an enquiry now to register your interest — places are strictly limited to 30 per programme.