Role & responsibilities Design and deliver training programs on Generative AI fundamentals and advanced topics. Conduct hands-on workshops on building AI-powered applications using LLM APIs and frameworks. Teach prompt engineering techniques for text generation, summarization, and contextual reasoning. Demonstrate fine-tuning and model customization for domain-specific tasks. Guide participants in building RAG-based solutions using vector databases and document retrieval systems. Cover deployment strategies for GenAI models on cloud platforms and edge devices. Provide training on evaluation metrics for AI models accuracy, coherence, toxicity detection. Incorporate real-world case studies from finance, healthcare, retail, and customer service domains. Create training materials, labs, and coding exercises for self-paced and instructor-led sessions. Evaluate participant progress through projects, assignments, and quizzes. Stay up to date with latest GenAI research, tools, and best practices and integrate them into training content. Preferred candidate profile 5+ years of experience in AI/ML development , with at least 2 years in Generative AI . Strong coding skills in Python with experience in transformer-based models . Proven track record in LLM integration and application development . Experience with LangChain , Hugging Face , and vector databases . Previous experience in technical training, mentoring, or corporate workshops . Excellent communication and presentation skills. Passion for emerging AI technologies and ability to simplify complex topics for varied audiences.
Role & responsibilities Design and deliver end-to-end Salesforce training programs covering Sales Cloud, Service Cloud, Experience Cloud, and Marketing Cloud . Conduct hands-on workshops on Lightning Web Components (LWC) , Aura Components , and Visualforce development . Train participants on Apex programming , including triggers, classes, batch jobs, schedulers, and integration techniques (REST/SOAP APIs). Provide guidance on Salesforce administration , including user management, security model, profiles, roles, sharing rules, and workflows. Teach data migration techniques using Data Loader, SOQL, SOSL, and external integration tools. Demonstrate best practices in Salesforce customization custom objects, fields, page layouts, record types, validation rules, and approval processes. Cover Salesforce DevOps processes using Azure DevOps, Copado, ANT Migration Tool, and SFDX. Mentor on CPQ configuration including products, bundles, price lists, and O2C processes. Provide training on integration of Salesforce with external systems , including FHIR, HL7, and DocuSign. Explain testing strategies in Salesforceunit testing with Apex test classes, code coverage, and debugging using Salesforce Inspector. Share industry best practices for performance optimization and governor limit management . Develop and maintain training materials, exercises, and real-world project scenarios . Conduct assessment sessions to track learner progress and provide feedback for improvement. Stay up-to-date with Salesforce releases and incorporate new features into the training curriculum. Preferred candidate profile Hands-on experience in Salesforce Development & Administration . Strong expertise in Lightning Web Components (LWC) , Aura Components , Visualforce , and Apex programming . Experience with Sales, Service, Experience, and Health Clouds . Skilled in REST/SOAP API integrations , data migration , and CPQ configuration . Familiarity with Salesforce DevOps tools (Azure DevOps, Copado, ANT, SFDX). Prior experience delivering technical training or mentoring . Excellent communication and presentation skills.
Role & responsibilities Design and deliver comprehensive training programs on Java Full Stack Development , including Java SE/EE, Spring Boot, Spring MVC, Spring Security, Hibernate/JPA , and RESTful API development . Conduct interactive sessions on frontend frameworks such as React.js, Angular, and AngularJS , covering HTML5, CSS3, JavaScript (ES6+), TypeScript, Redux, RxJS, and Material UI. Provide hands-on workshops on Microservices architecture , API integration , and secure authentication flows (JWT, OAuth2). Train participants in database development and optimization using MySQL, Oracle, MongoDB , and SQL performance tuning techniques. Deliver practical sessions on DevOps tools and CI/CD pipelines using Jenkins, Git/GitHub/GitLab, Docker, Kubernetes, and AWS services (EC2, S3, IAM, CloudWatch, Lambda). Teach Apache Kafka fundamentals, including producer/consumer APIs, streaming pipelines, and integration with big data ecosystems. Introduce learners to Python for backend automation, ETL processes, and data processing using Pandas, NumPy, Flask, and Django. Conduct cloud-based application deployment training using AWS and container orchestration. Guide trainees in unit testing, integration testing, and TDD using JUnit, Mockito, and Postman. Mentor participants on best practices for clean code, design patterns (MVC, Singleton, Factory), and Agile/Scrum methodologies. Develop custom training materials, coding exercises, and project-based learning modules to reinforce concepts. Assess participants progress through assignments, code reviews, and technical quizzes, and provide constructive feedback. Keep course content updated with latest industry trends and emerging technologies relevant to the Java full stack ecosystem. Preferred candidate profile Hands-on experience in Java Full Stack Development . Strong skills in Java, Spring Boot, React/Angular, REST APIs, and Microservices . Experience with Databases (MySQL, Oracle, MongoDB) and Apache Kafka . Knowledge of DevOps tools (Jenkins, Git, Docker, Kubernetes) and AWS Cloud . Prior experience delivering technical training or mentoring . Excellent communication and presentation skills.