LangGraph Applications in Finance Training Course

LangGraph is a framework designed for constructing stateful, multi-agent LLM applications as composable graphs, featuring persistent state and precise control over execution flow.

This instructor-led, live training (available online or onsite) targets advanced-level AI platform engineers, AI DevOps specialists, and ML architects who wish to optimize, debug, monitor, and manage production-grade LangGraph systems.

Upon completion of this training, participants will be able to:

• Design and optimize complex LangGraph topologies for speed, cost-efficiency, and scalability.
• Enhance reliability through retries, timeouts, idempotency, and checkpoint-based recovery.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces; deploy to production; and monitor SLAs and costs.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Botswana (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection.

Upon completion of this training, participants will be able to:

• Grasp the role of AI in financial automation and fraud detection.
• Construct AI models for identifying fraudulent transactions.
• Utilise machine learning for real-time risk assessment.
• Deploy AI-powered financial monitoring systems.

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and optimise lending choices.

This instructor-led live training, available both online and on-site, is designed for finance professionals at an intermediate level who wish to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.

By the end of this training, participants will be able to:

• Grasp the key AI methods utilised in credit scoring and risk prediction.
• Develop and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to improve underwriting, loan approval, and portfolio management.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence serves as a technology that facilitates the creation of digital products featuring advanced, data-driven capabilities and personalised customer experiences.

This instructor-led live training, available both online and onsite, is complemented by asynchronous activities and in-person workshops. It is designed for intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.

Upon completing this training, participants will be able to:

• Identify customer needs and define a clear product vision.
• Apply AI technologies to enhance digital banking products.
• Use agile and design thinking methods to create user-centered solutions.
• Measure, iterate, and optimise product performance for sustained value.

Format of the Course

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshop with case studies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial intelligence is revolutionizing the way financial institutions identify fraud and counter money laundering by performing intelligent, real-time analysis of extensive transaction data.

This instructor-led live training, available either online or in person, is designed for intermediate-level professionals who aim to utilise machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.

Upon completion of this training, participants will be able to:

• Comprehend AI use cases within fraud detection and AML monitoring.
• Design and implement models for anomaly detection and transaction scoring.
• Apply graph-based AI for network risk detection.
• Ensure the deployment of ethical, explainable, and regulatory-compliant models.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

Artificial intelligence serves as a critical strategic tool for enhancing operational efficiency, improving customer experiences, and reducing risk within the financial sector.

This instructor-led live training, available either online or onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior experience with artificial intelligence but wish to learn how to implement AI solutions responsibly and effectively within their organisations.

Upon completing this training, participants will be able to:

• Grasp the strategic significance of AI in the financial services industry.
• Recognise and mitigate ethical risks linked to AI models.
• Navigate the regulatory framework governing AI in finance.
• Develop frameworks for responsible AI governance and implementation.

Course Format

• Interactive lectures and discussions.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Customisation Options

• For tailored training on this topic, please contact us to make arrangements.

Artificial Intelligence is reshaping the FinTech sector by facilitating smart automation, ultra-personalized services, and secure, real-time financial solutions.

This instructor-led, live training session (available online or in-person) is designed for beginner to intermediate-level FinTech professionals who want to explore the intersection of AI, APIs, and Open Banking innovations to create next-generation financial products.

Upon completing this training, participants will be able to:

• Comprehend how AI and machine learning are applied across various FinTech use cases.
• Utilize Open Banking APIs and data aggregation to drive product innovation.
• Design AI-powered features for digital wallets, neobanks, and financial assistants.
• Align innovative strategies with regulatory, ethical, and security requirements.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange.

Artificial Intelligence is reshaping how financial institutions handle risk, strategy, compliance, and customer experience.

This instructor-led live training, available both online and onsite, is designed for intermediate-level financial and technology professionals who wish to gain a deeper understanding of how AI influences strategy, ethics, and regulation within the financial sector.

By the end of this training, participants will be able to:

• Grasp the strategic applications of AI within financial services.
• Evaluate the ethical and regulatory implications of adopting AI.
• Develop frameworks for responsible AI governance and oversight.
• Align AI strategies with organisational goals and compliance requirements.

Format of the Course

• Interactive lecture and discussion.
• Case studies and group exercises.
• Practical analysis of real-world AI regulatory frameworks.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence offers a robust set of techniques for developing intelligent trading systems that autonomously analyse market data, generate predictions, and execute strategies.

This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals who wish to apply AI techniques in trading and asset management, with a focus on signal generation, portfolio optimization, and algorithmic strategies.

By the end of this training, participants will be able to:

• Understand the role of AI in modern financial markets.
• Use Python to build and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to financial data.
• Optimize portfolios using AI-driven techniques.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence is revolutionising WealthTech by facilitating highly personalised financial services, smart advisory platforms, and improved client experiences.

This instructor-led live training (available online or onsite) targets intermediate-level finance and technology professionals eager to design, assess, or deploy AI-driven solutions for personalised wealth management and robo-advisory services.

Upon completion of this training, participants will be capable of:

• Grasping how AI is applied within wealth management and digital advisory platforms.
• Designing intelligent systems that deliver personalised portfolio recommendations.
• Integrating behavioural finance data and client preferences into advisory algorithms.
• Evaluating ethical and regulatory challenges associated with automated investment advice.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live laboratory environment.

Course Customisation Options

• For a tailored training experience, please contact us to make arrangements.

LangGraph is a framework designed for constructing LLM applications structured around graphs, enabling capabilities such as planning, branching, tool utilisation, memory management, and controlled execution.

This instructor-led, live training (available online or on-site) targets beginner-level developers, prompt engineers, and data practitioners who aim to design and construct reliable, multi-step LLM workflows using LangGraph.

Upon completion of this training, participants will be able to:

• Articulate core LangGraph concepts (nodes, edges, state) and understand when to apply them.
• Construct prompt chains that branch, invoke tools, and retain memory.
• Integrate retrieval mechanisms and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph applications for reliability and safety.

Course Format

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs within a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Customization Options

• To request custom training for this course, please contact us to arrange.

LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are essential for ensuring compliance, achieving interoperability, and developing decision-support systems that align with clinical workflows.

This instructor-led training, available online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

Upon completing this training, participants will be able to:

• Design healthcare-specific LangGraph workflows that prioritise compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications within healthcare production settings.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises using real-world case studies.
• Implementation practice in a live laboratory environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

LangGraph serves as a framework for developing stateful, multi-actor LLM applications through composable graphs that feature persistent state and precise execution control.

This instructor-led, live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based legal solutions equipped with the necessary compliance, traceability, and governance controls.

Upon completion of this training, participants will be capable of:

• Designing legal-specific LangGraph workflows that maintain auditability and compliance.
• Integrating legal ontologies and document standards into graph state and processing.
• Implementing guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploying, monitoring, and maintaining LangGraph services in production environments with observability and cost controls.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

LangGraph serves as a framework designed for composing graph-structured workflows involving Large Language Models (LLMs). It supports features such as branching, tool utilization, memory management, and controllable execution.

This instructor-led, live training session (available online or on-site) is tailored for intermediate-level engineers and product teams. The objective is to combine LangGraph’s graph logic with LLM agent loops to create dynamic, context-aware applications, including customer support agents, decision trees, and information retrieval systems.

Upon completion of this training, participants will be equipped to:

• Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
• Implement conditional routing, retry mechanisms, and fallback strategies to ensure robust execution.
• Integrate retrieval processes, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and enhance agent behaviour to ensure reliability and safety.

Course Format

• Interactive lectures and facilitated discussions.
• Guided laboratory sessions and code walkthroughs within a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

By the end of this training, participants will be able to:

• Design graph-structured content and email workflows with conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalization.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimize workflow performance and delivery outcomes.

Format of the Course

• Interactive lectures and group discussions.
• Hands-on labs implementing email workflows and content pipelines.
• Scenario-based exercises on personalization, segmentation, and branching logic.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.