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AI & Machine Learning Training

Explore the future of technology with our comprehensive, practical, and project-based Artificial Intelligence and Machine Learning training program. Learn how to build intelligent applications, train...

AI & Machine Learning Training – Students Learning Artificial Intelligence, Python, Deep Learning, Generative AI, LLMs and AI Agent Development.

Explore the future of technology with our comprehensive, practical, and project-based Artificial Intelligence and Machine Learning training program. Learn how to build intelligent applications, train machine learning models, work with large language models, and develop AI-powered solutions for real-world business problems. This course is designed for beginners, students, developers, and aspiring AI engineers who want to gain practical knowledge and industry-relevant AI skills.

Our AI and Machine Learning training covers Artificial Intelligence fundamentals, Machine Learning, Deep Learning, Generative AI, Python for AI, ChatGPT and LLM integration, LangChain, Retrieval-Augmented Generation (RAG), and AI Agent Development. You will learn data preparation, model training, neural networks, prompt engineering, embeddings, vector databases, API integration, and intelligent workflow automation. Through hands-on exercises and real-world projects, you will gain practical experience developing modern AI applications.

Key Highlights & Key Points – AI & Machine Learning Training

  1. Introduction to Artificial Intelligence and Machine Learning
  2. Python Programming for AI and Data Science
  3. Data Preparation, Cleaning and Exploratory Data Analysis
  4. Supervised and Unsupervised Machine Learning
  5. Regression, Classification and Clustering Algorithms
  6. Model Training, Evaluation and Performance Optimization
  7. Deep Learning and Neural Network Fundamentals
  8. Natural Language Processing (NLP) Fundamentals
  9. Generative AI and Large Language Models (LLMs)
  10. ChatGPT Integration and Prompt Engineering
  11. LLM API Integration and AI Application Development
  12. LangChain Framework and LLM Application Development
  13. Retrieval-Augmented Generation (RAG) Architecture
  14. Vector Databases, Embeddings and Semantic Search
  15. AI Agent Development, Tool Calling and Real-World Projects


Course Details

Duration
3 Months
Class Time
8 hour
Class Type
Offline
Level
Beginner to Advanced
Fees
15,000
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