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Generative AI and Machine Learning Overview
The Generative AI and Machine Learning course enriches your career journey with comprehensive coverage of machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more. Combining theory with hands-on practice, it offers live virtual sessions, projects with integrated labs, and masterclasses by IIT Guwahati faculty.
Key Features
- Program completion certificate from E&ICT Academy, IIT Guwahati
- Curriculum delivered in live virtual classes by seasoned industry experts
- Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
- Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
- Opportunity to earn an ‘Executive Alumni Status’ from E&ICT Academy, IIT Guwahati
- Eligibility for a campus immersion program organized at IIT Guwahati
- Exclusive hackathons and “ask-me-anything” sessions by IBM
- Certificates for IBM courses and industry masterclasses by IBM experts
- Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
- Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
- Simplilearn’s JobAssist helps you get noticed by top hiring companies
Curriculum
- 6 Sections
- 1 Lesson
- 10 Weeks
Expand all sectionsCollapse all sections
- Program InductionEmbark on a comprehensive learning adventure with our Generative AI and Machine Learning Certificate Program. Delve into the essential concepts of generative AI and machine learning, equipping yourself with the knowledge and skills needed to launch your career in this dynamic field.1
- Python for Data Science (IBM)IBM designed course on Python for data science Master Python scripting Hands-on data analysis using Jupyter Lab.0
- Applied Data Science with PythonIntroduction to data science and its practical applications Grasp the essentials of NumPy Investigation into array indexing and slicing techniques Application of linear algebra principles in data analysis Calculation of central tendency and dispersion measures Explanation of null and alternative hypotheses Exploration of various hypothesis testing methods including Z-test and T-test Understanding the concept of ANOVA (Analysis of Variance) Utilization of Pandas for data loading, indexing, reindexing, and merging0
- Deep Learning with TensorFlow (IBM)Elevate ML skills with deep learning Learn TensorFlow and Keras Understand deep learning concepts Construct artificial neural networks Navigate data abstraction layers Unlock data potential for AI advancements0
- Generative AI Literacy0
- Advanced Generative AITransformers' significance in modern AI Neural networks' suitability for generative tasks Differentiate generative model types: VAEs, GANs, transformers, autoencoders Appropriate scenarios for diverse generative AI models Assess attention mechanisms' efficacy in generative tasks Analyze GPT and BERT, contrasting their architectural goals in generative AI Langchain and Workflow Design Advanced Prompt Engineering Techniques LLM Application Development LLM Fine-Tuning and Customization0