Learning Outcomes ✨

• ✅ Trace the remarkable journey of AI from its origins to its current applications, gaining a contextual understanding of the field.
• ✅Recognize and define key AI terminologies, including machine learning, deep learning, data science, and big data, distinguishing between their roles and functions.
• ✅ Understand the significance of data in AI, recognizing its types, sources, and the challenges and benefits associated with big data.
• ✅ Comprehend the data science process, emphasizing the importance of data interpretation before and after modeling, and understand how machine learning workflow fits into this process.
• ✅ Gain awareness of the ethical responsibilities involved in AI, including the principles of trust and sustainability, and the importance of building responsible AI solutions.

Learning Outcomes ✨

• ✅Gain insight into the evolution and historical progression of Generative AI, tracing its roots to present advancements.
• ✅Develop a well-rounded expertise across multiple domains of Generative AI, including text, image, audio, video, and synthetic multimedia.
• ✅Achieve a solid grasp of both the theoretical concepts underpinning Generative AI and their real-world applications, without the complexity of coding.
• ✅Delve into practical use cases of Generative AI, understanding its real-world impact and potential in shaping diverse business scenarios.
• ✅Develop a keen sense of the ethical and legal implications of deploying Generative AI, ensuring responsible and compliant application in the business landscape.

In today’s rapidly evolving business landscape, harnessing the power of Natural Language Processing (NLP) has become imperative. NLP, a subfield of Artificial Intelligence, offers the key to unlocking valuable insights from unstructured textual data, thereby driving innovation and enhancing decision-making. This module is a comprehensive and accessible course designed for professionals from diverse backgrounds. This course takes you on a journey through NLP by providing you with the essential knowledge and practical skills required to leverage NLP effectively in real-world business scenarios.

• ✅Get a comprehensive understanding of NLP’s historical journey, its pivotal milestones, and how it has evolved to tackle real-world challenges and drive innovation.
• ✅Attain expertise in a wide range of NLP tasks, from text classification, sentiment analysis, named entity recognition, language identification, and part-of-speech tagging to utilising search engines, retrieving documents, performing text summarization, and extracting keywords.
• ✅After this lesson, you will be well-versed in machine translation techniques, speech recognition (speech-to-text), text-to-speech synthesis, and the workings of voice-activated assistants.
• ✅Gain the expertise to generate text for diverse applications, construct dialogue systems, resolve coreference in text, and acquire advanced skills encompassing optical character recognition, language modelling, word embeddings, and comprehension of large language models.
• ✅Embark on a journey through the End to End NLP Tools and Techniques, mastering the complete lifecycle of NLP and equipping yourself with the knowledge and tools to build and deploy robust NLP applications.

Learning Outcomes ✨

• ✅Gain a comprehensive understanding of Large Language Models (LLMs), their types, and the significance of prompts in guiding their responses.
• ✅Master the principles and techniques of effective prompt crafting, ensuring clarity, specificity, and alignment with business communication needs.
• ✅Develop proficiency in evaluating the performance of different models using varied prompts, understanding their capabilities and limitations.
• ✅Acquire skills to apply prompt engineering in real-world scenarios, spanning tasks like research, content creation, coding, and productivity enhancement.
• ✅Understand and manage challenges such as LLM hallucinations, recognizing their implications and learning strategies to minimize them.

• ✅Comprehend the rationale behind and the necessity for advanced prompting techniques in LLMs.
• ✅Revisit foundational prompting concepts with a critical eye for their enhancement and application.
• ✅Master a suite of intermediate and specialised prompting methods to fine-tune LLMs responses.
• ✅Explore real-world applications of advanced prompting, highlighting business relevance and foresight into future trends.
• ✅Navigate the ethical, legal, and security considerations in prompt engineering to foster responsible AI developments.