Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Artificial Intelligence - AI with Machine Learning, NLP and Python Specialization
"AI and Machine Learning Masterclass: Unraveling Python's Potential"
Embark on a transformative journey into the realms of Artificial Intelligence, Python, and Machine Learning with our comprehensive masterclass. This course covers fundamental Python concepts, advanced Python techniques, Numpy library essentials, and dives deep into cutting-edge topics like Unmanned Ground Vehicle (UGV) technology, Artificial Intelligence (AI), Machine Learning types including Unsupervised Learning and Reinforcement Learning, Speech Recognition, and Natural Language Processing (NLP).
Course Highlights:
1. AI Design Series:
- Part 1: Unmanned Ground Vehicle Path Finding
- Part 2: Bellman Equation
- Part 3: Markov Decision Tree
- Part 4: Q Learning
- Part 5: Code for Displaying Path
Delve into the world of Artificial Intelligence, where machines demonstrate intelligence through perceiving their environment and maximizing goal achievement. Explore Natural Language Processing (NLP), enabling machines to read and comprehend human language, fostering applications like information retrieval and question answering.
Why Enroll?
Ideal for aspiring AI, Python, and Machine Learning enthusiasts, this course offers insights into advanced web search engines, recommendation systems, speech recognition technologies (e.g., Siri, Alexa), and self-driving cars (e.g., Tesla). Master fundamental AI concepts and Python essentials while gaining hands-on experience through real-world AI design projects.
Enroll now to kickstart your career in Artificial Intelligence, Python, and Machine Learning. Unlock opportunities in the dynamic world of intelligent technology and emerge as a proficient AI practitioner and Python developer.
Course Content
- 7 section(s)
- 76 lecture(s)
- Section 1 Course Introduction
- Section 2 Python Programming Tutorials
- Section 3 Numpy Library
- Section 4 Machine Learning
- Section 5 Unmanned Ground Vehicle Working Flowchart
- Section 6 Artificial Intelligence for Unmanned Ground Vehicle
- Section 7 Speech Recognition and Natural Language Processing
What You’ll Learn
- The course provides path to start career in Artificial Intelligence
- Problem Solving Approach
- Impress interviewers by showing an understanding of the Artificial Intelligence concept with Machine Learning
- Python Basic to Advance Concept with Numpy Library
- Case Study of Robotics (Unmanned Ground Vehicle)
- Speech Recognition and Natural Language Processing
Skills covered in this course
Reviews
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AAkande Olushola Daniel
Yes, indeed a good match. It's comprehensive.
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SSudarsan
need more in depth explanation as new learner i am not able to understand why f" , /di\w+ like words/letters using like many areas no clarity kindly make bit in depth
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ZZuby Madu
Instructor was mostly telling how much he knows about AI for robotics and not really teaching. Take it slower with more details especially with the coding next time
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NNikolaos Gougoulias
Instructor uses poor english language (pronunciation is unexeptable) and the subjects are superficially analyzed