All Courses
Stay ahead by mastering the most sought-after skills in Data Science and AI through our innovative upskilling and cross-skilling programs. Our unique, learning by doing approach empowers you to apply new knowledge in real-world situations from day one, ensuring that the skills you gain are not just theoretical but immediately practical and industry-relevant. Whether you're advancing in your current role or exploring new opportunities, you'll be equipped with the tools and confidence to thrive in today's competitive, tech-driven world..
Large Language Models & Prompt Engineering
Master Large Language Models and prompt engineering to build cutting-edge AI applications in this practical course. Understand how LLMs work, including Transformer architecture, attention mechanisms, and models like GPT and LLaMA. Learn prompt engineering techniques including zero-shot, few-shot, and chain-of-thought prompting strategies. Gain hands-on experience using the OpenAI API and Hugging Face Transformers library for AI development. Build AI-powered applications with LangChain, learning to create chains, agents, and memory-enabled systems. By the end, you will be skilled at leveraging LLMs for real-world applications across various domains. Basic Python knowledge and familiarity with AI concepts are recommended to get the most from this course.
Generative AI Engineer Bootcamp
Specialize in Generative AI engineering with this advanced bootcamp designed for developers and ML professionals. Master LLM and prompt engineering combined with machine learning essentials for building intelligent systems. Build RAG (Retrieval Augmented Generation) systems that combine language models with external knowledge bases. Learn to fine-tune LLMs and develop AI agents that can reason, plan, and execute complex tasks autonomously. Gain expertise in vector databases, embeddings, and production deployment strategies for scalable AI applications. Graduate job-ready with skills to architect, build, and deploy LLM-based applications for GenAI roles. Python proficiency and basic ML knowledge are required to succeed in this intensive advanced program.
Responsible & Secure AI Bootcamp
Master responsible AI development with this essential bootcamp for practitioners concerned with trustworthy AI systems. Learn comprehensive AI ethics, data privacy regulations, and bias mitigation strategies for fair AI systems. Understand AI security threats and defense mechanisms against adversarial attacks targeting machine learning models. Explore Explainable AI (XAI) techniques to make your models transparent and interpretable for stakeholders. Navigate regulatory compliance frameworks including GDPR, CCPA, and the EU AI Act for enterprise deployments. Graduate able to design and audit AI systems that meet ethical, legal, and security requirements. This bootcamp is valuable for AI practitioners, compliance officers, and product managers working with AI.