The AI Mastery Training Program aims to provide learners with the basic skills and the insight required to start working in the area of Artificial Intelligence (AI). It starts with the basic concepts in computer science and establishes a solid base before moving on to the most popular programming language in AI, Python.
The learners will successfully navigate the components of Python data structures, object-oriented programming and will undergo training with data procedural programming, which is a critical step towards AI data preparation. The program outlines fundamental AI concepts and terminologies, along with the branches of AI, to enable participants to grasp the concept behind the technology.
Prompt Engineering and Generative AI, which are the new frontiers of AI, are covered in a separate module where students are taught to build intelligent, very creative systems by using modern tools and custom methods. The program also teaches other concepts, such as making AI-powered chatbots, which can be done without programming, so that other learners will not be excluded.
The learners will be trained with hands-on practical skills by customising an existing AI-powered chatbot using Python programming, which will enable them to appreciate practical AI applications.
Who Should Enrol?
Students, professionals, and enthusiasts aspiring to make a career in AI, learn technical skills, or gain practical experience in chatbot development may take up this AI Mastery Training Program. The course does not require any prior programming experience as it covers everything from basics to building real-world applications. Let’s start from the very beginning!
Curriculum
- 10 Sections
- 71 Lessons
- 12 Weeks
- Fundamentals of Artificial Intelligence5
- Machine Learning7
- Linear Regression5
- Decision Tree7
- K-Means8
- Reinforcement Learning5
- Deep Learning7
- Tenser Flow15
- 8.1Tensorflow8 Minutes
- 8.2TensorFlow (cont.)8 Minutes
- 8.3Activation Functions6 Minutes
- 8.4Activation Functions Demo11 Minutes
- 8.5Handwritten Digits Example6 Minutes
- 8.6Hand written Digits Demo9 Minutes
- 8.7Hand written Digits Demo (cont.)5 Minutes
- 8.8Loss or Cost Function9 Minutes
- 8.9Loss or Cost Function Demo9 Minutes
- 8.10Gradient Descent15 Minutes
- 8.11Gradient Descent Demo10 Minutes
- 8.12Stochastic Gradient Descent8 Minutes
- 8.13Tensor Board9 Minutes
- 8.14Mastery: Quiz95 Minutes13 Questions
- 8.15Stochastic Gradient Descent Demo10 Minutes
- Convolutional Neural Network6
- Word Embeddings17
- 10.1Word Embeddings11 Minutes
- 10.2Word Embeddings Demo9 Minutes
- 10.3Word2Vec11 Minutes
- 10.4Tensorflow Input Pipeline9 Minutes
- 10.5Tensorflow Input Pipeline Demo9 Minutes
- 10.6BERT6 Minutes
- 10.7Chatbots8 Minutes
- 10.8NLP and NLP Pipeline14 Minutes
- 10.9Tokenization in Spacy10 Minutes
- 10.10Language Processing Pipeline in Spacy10 Minutes
- 10.11Stemming and Lemmatization10 Minutes
- 10.12Parts of Speech5 Minutes
- 10.13Name Entity Recognition4 Minutes
- 10.14Bag Of Words14 Minutes
- 10.15Chatbot Demo11 Minutes
- 10.16Wrap Up2 Minutes
- 10.17Mastery: Quiz1110 Minutes22 Questions