AI Courses & Certifications

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Breadcrumb Abstract Shape
Breadcrumb Abstract Shape

This comprehensive Artificial Intelligence (AI) program is designed to equip learners with both foundational knowledge and practical skills in the field of AI. Covering everything from basic concepts to advanced applications like deep learning, NLP, and computer vision, this course is ideal for individuals seeking to launch or grow a career in AI across various industries.

Through hands-on projects, real-world case studies, and guided learning, participants will develop a robust understanding of AI technologies and their ethical, business, and societal implications.

What Will You Learn?
  • By the end of this certification program, you will be able to:
  • Understand the foundations and evolution of AI and its various subfields
  • Build and train machine learning and deep learning models
  • Apply AI techniques in natural language processing and computer vision tasks
  • Analyze and implement ethical practices in AI development
  • Evaluate the use of AI in business scenarios with practical case studies
  • Develop and present a complete AI solution through a capstone project

Material Includes

  • With enrollment, participants receive:
  • Complete access to video lectures, readings, and presentations
  • Hands-on coding exercises and projects (using Python, TensorFlow, etc.)
  • Downloadable resources, including model templates and datasets
  • Access to online labs or notebooks for practice
  • Case studies from real-world industries
  • Support from instructors or a learning community
  • Final project guidelines and evaluation criteria
  • Certificate of completion upon successful evaluation

Audience

  • This course is suitable for:
  • Beginners looking to start a career in Artificial Intelligence or Data Science
  • Software developers and engineers aiming to transition into AI roles
  • Data analysts and scientists seeking to upskill in AI tools and techniques
  • Business professionals and decision-makers interested in implementing AI solutions
  • Students, educators, and researchers in computer science or related fields

Course Content

1. Introduction to Artificial Intelligence
• What is AI? • History and evolution of AI • Applications of AI

2.Machine Learning (ML)
• Supervised, Unsupervised, and Reinforcement Learning • Algorithms & Model Training • Evaluation Metrics

3. Deep Learning
• Neural Networks • CNNs, RNNs, and Transformers • Use Cases: Vision, NLP, Speech

4. Natural Language Processing (NLP)
• Text processing and vectorization • Chatbots and Language Models • Sentiment Analysis

5. Computer Vision
• Image Classification and Detection • Face Recognition • Medical Imaging

6. AI Ethics and Governance
• Bias and Fairness in AI • Explain ability and Transparency • Regulations and Compliance

7.AI in Business & Industry
• AI in Healthcare, Finance, Retail, and Manufacturing • Case Studies

8. Capstone Project / Certification Assessment
• Real-world AI Problem Solving • Final Project Evaluation

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Course Includes:

  • Price:Free
  • Instructor:elitemindllc25@gmail.com
  • Lessons:0
  • Students:0
  • Level:Intermediate