What You'll Learn
- Learn the core concepts of AI, machine learning, and deep learning to build a strong foundation in AI development.
- Build a solid foundation in Python programming to effectively implement AI concepts and applications.
- Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
- Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
- Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
- Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
Requirements
- Familiarity with Python programming language, including basic syntax, data structures, and functions.
- Understanding of APIs and how to interact with them, as the course will involve integrating various APIs for model deployment and usage.
- Ability to navigate and execute commands in a command line interface (CLI) or terminal.
Who This Course is For
- Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.
- Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.
Your Instructor
TechLynk Selenium | DevOps | GenAI | Cloud
Software Architect
4.5 Instructor Rating
28,263 Reviews
404,083 Students
27 Courses
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