Courses are grouped by the role they prepare you for. Curriculum, delivery modes, fees and trainer details are being confirmed for each course page; counselling is available now if you are choosing between them.
Build a broad foundation in generative AI and its practical applications. This pathway is intended for students, freshers, professionals, career switchers, non-IT learners and developers. Discuss your background and learning goals with the team to identify an appropriate starting point for your training.
Explore how models learn from data and how predictions are evaluated. This pathway suits learners building Python foundations and professionals moving toward data or AI work. Discuss your current experience and learning goals to confirm the right syllabus and starting point.
Explore AI systems that plan, use tools and complete multi-step tasks. This pathway suits developers, software engineers, AI and ML professionals, and learners with a generative AI foundation. Discuss your existing knowledge and the kinds of systems you want to build before selecting your training.
Explore how machine-learning systems are deployed, monitored and maintained. This pathway suits ML engineers, data scientists, DevOps and cloud engineers, and developers working with machine-learning applications. Discuss your current responsibilities and learning goals to identify which parts of the model lifecycle matter to your work.
Develop clearer instructions to get more reliable results from AI systems. This pathway suits students, professionals, marketers, content creators, developers and non-technical users working with AI tools. Discuss the tasks you want to improve so the team can help identify a suitable focus for your training.
Explore how models, tools, retrieval and workflows connect within AI applications. This pathway suits AI developers, generative AI developers, ML engineers and software engineers building connected systems. Discuss your experience and the application workflows you want to understand before choosing the right training focus.
Build practical skills for using ChatGPT in approved study and work tasks. This pathway suits students, employees, marketers, business professionals and non-IT users who want to use the tool more effectively. Discuss your experience and intended tasks with the team to identify a suitable training focus.
Build practical skills for using Claude in content, research, development and automation work. This pathway suits AI users, developers, content and research professionals, and people working with automation. Discuss your experience and the tasks you want to support so the team can recommend a suitable training focus.
Build practical skills with Gemini, Google's AI model family, for prompts, documents and app workflows. This pathway suits students, developers, analysts, marketers, educators and business teams using Google AI tools. Discuss your experience and intended tasks with the team to identify a suitable training focus.
Build practical skills with Microsoft 365 Copilot and Copilot Studio for everyday workplace tasks. This pathway suits students, working professionals, Microsoft 365 users and HR, sales, support and operations teams. Discuss your experience and the tasks you want to support so the team can recommend a suitable focus.
Learn to test AI features and use AI tools to make software testing faster. This pathway suits students, freshers, manual and automation testers, developers and QA teams working with web apps and chatbots. Discuss your testing experience and goals with the team to identify an appropriate starting point.
Explore how quantum computing principles apply to machine learning, optimisation and security. This pathway suits AI and ML professionals, developers, data scientists, technical graduates and career switchers curious about quantum methods. Discuss your Python and maths background with the team to confirm a suitable starting point.
| Batch | Days | Learning mode | Next session |
|---|---|---|---|
| Weekday batch | Weekdays | Classroom or live online | Confirm the next start date and class time |
| Weekend batch | Weekends | Classroom or live online | Confirm the next start date and class time |
Choose a weekday or weekend batch. Contact the team for the next start date, exact timings and available seats before enrolling.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Generative AI Specialist & LLM Architect
9+ years in Artificial Intelligence, Machine Learning and Generative AI
Core expertise: Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, NLP systems, Deep Learning, MLOps and cloud deployment on AWS.
Industry projects: LLM-based AI assistants, RAG-powered knowledge platforms, intelligent chatbots, fraud detection systems and predictive AI solutions for healthcare and manufacturing.
Teaching style: explains transformers, embeddings and AI agents in simple language, with hands-on coding and job-focused training.
Book a free demoTell us what users need to do, what is slowing the business down and what a successful outcome should look like. We will help you identify the appropriate AI, software, product or training pathway.
