Course Description
ARTIFICIAL INTELLIGENCE, LARGE LANGUAGE MODELS AND MACHINE LEARNING
This Masterclass equips you with the necessary skills needed to combine knowledge of computer languages, machine learning, data science and deep learning to create large language models and build powerful Generative AI for real world applications in cybersecurity, big data analytics, system administration, cloud computing and other fields in IT.
You will learn how to assume the role of an AI Engineer by SwitchingUP or SkillingUP your ability to build and train machine learning systems to predict stock sentiment analysis, hands-on projects and simulations to predict healthcare spending, build ML models to predict and determine defective machine operations, train GenAI applications to detect cyber threats before they occur, predict weather patterns and volcanic eruptions, analyze complex data, build and train gamification applications, detect deep fakes and analyze social media trends, contents and make predictions based on Large Language Models (LLMs).
Learn from the nation’s leading experts on AI who have built intelligent and intuitive systems and applications for some fortune 100 companies.
Course Features
- Lectures 20
- Quizzes 0
- Duration 24 weeks
- Skill level All levels
- Language English
- Students 52
- Certificate No
- Assessments Yes
Curriculum
- 4 Sections
- 20 Lessons
- 24 Weeks
- GENERAL TRACK: AI & Generative AI Using LLM, Deep Learning and Machine Learning8
- 1.0Chapter 1: Introduction to AI and Gen AI
- 1.1Chapter 2: Reinforcement Learning
- 1.2Chapter 3: Q-Learning Implementation
- 1.3Chapter 4: Deep Convulational Q-Learning Intuition
- 1.4Chapter 5: A3C Intuition
- 1.5Chapter 6: PPO and SAC Models
- 1.6Chapter 7: Artificial Neural Networks
- 1.7Chapter 8: Convulational Neural Networks
- TRACK ONE: Generative AI for Cybersecurity5
- 2.1Section 1: Decoding Generative AI and Large Language Models (LLMs)
- 2.2Section 2: Architecture of Large Language Models, Design and Security Controls
- 2.3Section 3: LLM Technology Stacks and Security
- 2.4Section 4: Open-Source and Proprietary LLMs
- 2.5Section 5: Prompt Engineering and LLMs Fine-Tuning – Hands On
- TRACK TWO: AI for Data Science and Big Data Analytics4
- TRACK THREE: Artificial Intelligence and Software Development & Testing3
