AIFPAI+ PharmaArtificial Intelligence for Pharmaceutical & Life Sciences
Course Overview
AI+ Pharma: Artificial Intelligence for Pharmaceutical & Life Sciences is a five-day programme with content aligned to the AI CERTs AI+ Pharma™ certification blueprint, designed for pharmacy and life sciences professionals, R&D, clinical and regulatory teams, and healthtech innovators.
Over five days it builds capability across AI Foundations for Pharma; AI in Drug Discovery & Developme
Key Takeaways
In today’s rapidly evolving world, AI and Blockchain technologies are transforming industries, but the skills gap is widening. Millions struggle to find accessible, real-world certification programs that truly prepare them for the future of work. The challenge is clear: How do we upskill global talent with relevant, practical knowledge that keeps pace with innovation? At AI CERTs®, we saw this urgent need and decided to act.
The Spark: Why AI CERTs® Was Born
We believe talent is everywhere, but opportunity is not. Our founders witnessed a common barrier: future-ready education in AI and Blockchain was often locked behind complicated, expensive, or outdated courses. That’s why AI CERTs® was created to offer role-based trusted artificial intelligence certificate programs and blockchain certifications that are accessible to every learner, no matter if they have a tech background or not.
Course Outline
→ The AI-in-pharma landscape: where AI creates
value across the value chain
→ Machine-learning essentials: supervised,
unsupervised, and deep learning
→ Common AI algorithms and models relevant to
life sciences
→ Pharmaceutical and healthcare data types,
sources, and quality
→ No-code AI tooling for rapid prototyping (e.g.
Teachable Machine)
→ Predictive modelling for adverse drug reactions
and drug-drug interactions
→ Hands-On Lab: Participants build a no-code
predictive model on a historical patient dataset
to flag adverse-drug-reaction risk.
→ AI in molecular drug design and lead optimisation
→ Virtual screening and AI-assisted target
identification
→ AI-driven drug repurposing and its real-world
successes
→ Cheminformatics workflows with tools such as
RDKit and DeepChem
→ Exploring disease-drug associations from
biomedical knowledge graphs
→ Shortening early-discovery cycles: opportunities
and limits
→ Hands-On Lab: Participants run an AI-driven
molecular design and drug-repurposing
workflow using an open data-mining tool.
→ AI-enhanced patient recruitment and
eligibility matching
→ Smarter trial design, site selection, and
protocol optimisation
→ Clinical data management, monitoring, and
risk-based oversight
→ AI for safety signal detection and
pharmacovigilance
→ No-code clinical analytics pipelines (e.g. KNIME)
→ Case study: AI-driven analytics that optimised
real clinical trials
→ Hands-On Lab: Participants build a clinical-data
analytics workflow to model trial recruitment and retention on a no-code platform.
→ Personalised treatment strategies and adaptive
care pathways
→ Biomarker discovery and validation with AI
→ AI-assisted genomic interpretation and analysis
→ Patient stratification and risk scoring
→ Real-world evidence analysis for treatment
outcomes
→ NLP for clinical and scientific literature mining
→ Hands-On Lab: Participants perform AIdriven
genomic interpretation and biomarker exploration using an open genomics platform.
→ Ethical considerations, fairness, and AI
governance in pharma
→ AI compliance and regulatory frameworks (GxP,
FDA/EMA, data privacy)
→ Building practical AI governance and risk management strategies
→ AI project management, tool evaluation, and ROI
→ Emerging AI technologies and sustainability in pharma
→ Scenario planning and predictive dashboards
for decision-making
→ Hands-On Lab: Participants draft an AI governance strategy and a future-focused scenario-planning dashboard for a pharma initiative.
→ Capstone project: applying the full five-day
toolkit to a realistic AI in pharmaceuticals and life sciences scenario
→ Structured peer and facilitator review of each
capstone deliverable
→ Post-programme competency assessment against the learning outcomes
→ Personal action plan for applying the learning in
the workplace
→ Programme wrap-up, key takeaways, and continued-development guidance
→ Capstone Presentation: Participants present
their AI in Pharma Capstone Project and receive structured feedback before certification.
Who Should Attend?
→ Pharmaceutical R&D Directors & Research Scientists
→ Drug Discovery & Development Professionals
→ Clinical Trial Managers & Regulatory Affairs Officers
→ Medical Affairs & Pharmacovigilance Specialists
→ Biotech & Life Sciences Executives
→ Quality Assurance & Compliance Officers in pharma
→ Supply Chain & Manufacturing Managers in pharmaceutical production
→ Data Scientists & Bioinformatics Professionals in life sciences
→ Hospital Pharmacists & Clinical Pharmacy Leaders
→ Any pharmaceutical or life sciences professional seeking AI CERTs certification in
AI-driven drug development, clinical research, and regulatory compliance
FAQ
Reviews
- Review:Certified Professional in Quality and Patient SafetyWe have been working with LEORON for the past two years and will be working with them again this upcoming year. The programs they delivered were fruitful and exciting and our organization has received positive feedback from the participants. What our organization aims to do is to provide at no cost training for all the private sector employees so that they may benefit from our offered programs in Innovation and Professional development. Leoron has helped us achieve this goal. We look forward to continuing this service and wish them the best of luck. Regards,Nasser M. Al-Subaie
- Review:Certified Professional in Quality and Patient SafetySince the partnership was signed between BAE Systems Saudi Development & Training and LEORON in 2017, we have been working together to offer the Saudi market a complete portfolio of training solutions benefiting from the wide and extensive experience of both parties. Recognizing the great success of this partnership, we are looking for further collaborations in the future that will position both companies as one of the leading training providers in Saudi Arabia. We thank the LEORON team for their full cooperation and continuing support, and look forward to further success together in the years to come.Emad Alrajih
- Review:Certified Professional in Quality and Patient SafetyDating back to 2014, Mobily’s “LEORON” experience has grown from a single collaboration to a long-term partnership. We consider “LEORON” Institute as a strategic partner, whose contribution has been nothing but premium in equipping our staff with field-based knowledge and information. Past three years have resulted with an expanded collaboration with superior customer service and support. Best Regards,Turki S. Alsahaan
- Review:IAMM Internal Audit Maturity ModelIn recognition of their dedication and contribution supporting IKEA Saudi Arabia in arranging training programs during 2017 & 2018, looking forward for more development and exciting effort this year. On behalf of IKEA Saudi Arabia, THANK YOU!Dalal Kutbi
