Applied AI & LLM Engineering with Python Training in Middle East & Africa

This training provides a comprehensive foundation in Applied AI and LLM Engineering using Python. Participants will explore the principles of artificial intelligence, machine learning, and large language models, focusing on practical implementation and deployment. The course covers essential Python libraries, model development, fine-tuning, and integration of LLMs into real-world applications. Through a blend of theory and hands-on exercises, learners will gain the skills needed to build and manage AI-driven solutions.

Welcome to the official Applied AI & LLM Engineering with Python Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Middle East & Africa. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of Python programming
• Familiarity with fundamental machine learning concepts
• Knowledge of data structures and algorithms
• Basic command line and version control (Git) experience

• Proficiency in Python for AI development
• Ability to build and train machine learning models
• Expertise in working with large language models
• Skills in prompt engineering and model customization
• Competence in deploying AI solutions in production

Upon completion, participants will be able to design, implement, and deploy AI and LLM solutions using Python. They will have practical experience with machine learning models, large language models, and deployment pipelines, enabling them to tackle real-world AI challenges in their organizations.