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AI/ML Expert

85,000.00

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Course Level

Intermediate

Video Tutorials

13

Course content

Month 1: Data Manipulation and ML Intro

Week 1-2: Introduction to Machine Learning and Python Basics
00:00
Week 3-4: Data Manipulation with Python Libraries
00:00

Month 2: EDA and Supervised Learning

Month 3: Supervised Learning II and Unsupervised Learning

Month 4: Deep Learning

Month 5: NLP and RL Intro

Month 6: Model Deployment, Big Data, and Capstone

15+ hands-on projects

About Course

The “AI/ML Expert” course on elearners365 is a six-month program designed to equip learners with comprehensive skills in artificial intelligence and machine learning. Starting with the basics of machine learning and Python, the course covers data manipulation, exploratory data analysis, and data visualization. Participants will learn both supervised and unsupervised learning techniques, including regression, classification, clustering, and dimensionality reduction.

In the fourth month, the focus shifts to deep learning, where learners build and train neural networks using TensorFlow/Keras. The fifth month covers natural language processing (NLP) and reinforcement learning (RL), exploring text analysis, sentiment analysis, and foundational RL algorithms. The final month prepares learners for real-world applications, including model deployment on cloud platforms and big data processing with Apache Spark.

The course includes over 15 hands-on projects and culminates in a capstone project, providing practical experience and solidifying the skills needed to become an AI/ML expert.

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What Will You Learn?

  • Machine learning fundamentals and Python basics.
  • Data manipulation with NumPy and Pandas.
  • Exploratory data analysis (EDA) and visualization.
  • Supervised learning (regression, classification).
  • Unsupervised learning (clustering, dimensionality reduction).
  • Deep learning essentials (neural networks, CNNs, RNNs).
  • Natural Language Processing (NLP) techniques.
  • Reinforcement Learning (RL) concepts.
  • Model deployment on cloud platforms.
  • Big data processing with Apache Spark.
  • Capstone project applying AI/ML techniques.

Instructor

JG
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21 Courses

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85,000.00


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