Artificial Intelligence

Artificial Intelligence (AI) is a transformative technology that enables machines to perform tasks that typically require human intelligence. This includes learning from experience, understanding natural language, recognizing patterns, and making decisions. AI systems can analyze vast amounts of data, adapt to new information, and improve their performance over time. They are used in various applications, from virtual assistants and autonomous vehicles to healthcare diagnostics and financial forecasting. By simulating human cognitive functions, AI is revolutionizing industries and enhancing efficiency, accuracy, and innovation across the globe.

Curriculum

Installation of Anaconda Prompt30:25🔒
Jupyter Notebook-An Overview25:40🔒
Shorcut Lkeys in Jupyter Notebook20:15🔒
Data Types in Python20:15🔒

Rules for Naming the Variables35:15🔒
List, Tuple, Set, Dictionary28:40🔒
"Introduction to Files and directories Introduction to the command prompt or terminal paths"22:30🔒
"Text files Reading from a text file Opening a file using `with`"18:25🔒

If, elif and else condition.30:25🔒
For and While Loop25:40🔒

Machine Learning Libraries30:25🔒
Numpy-Hands on25:40🔒

"Pandas-Hands on"45:30🔒

Learn how to explore, visualize, and extract insights from data42:30🔒
Data Visualization38:45🔒
Matplotlib-Hands on35:20🔒
Seaborn hands on28:15🔒

You need to think statistically and to speak the language of your data50:20🔒
Measures of Central Tendency35:45🔒
Measures of Dispersion42:30🔒
"IQR Statistics-Hands-On"42:30🔒

Classification, Regression, Fine-tuning your model50:20🔒
Supervised Learning35:45🔒
Unsupervised Learning35:45🔒
Linear Regression35:45🔒
"Metrics in Linear Regression Hands-on in Linear Regression35:45🔒

Logistic Regression50:20🔒
Metrics in Logistic Regression35:45🔒
Hands-on in Logistic Regression42:30🔒

Linear regression50:20🔒
Metrics for Linear regression35:45🔒

Introduction to Data Preprocessing50:20🔒
Standardizing Data35:45🔒
Exploratory Data Analysis42:30🔒
Missing Values42:30🔒
Outliers42:30🔒
"Standardization Mnormalization Feature Scaling and Selection42:30🔒

Decision Tree50:20🔒
Bagging35:45🔒
Boosting Random Forest42:30🔒

Neural Network50:20🔒

NLTK50:20🔒
spacy50:20🔒
GENISM50:20🔒
FastText50:20🔒

Huggingface50:20🔒
How does generative AI work?35:45🔒
Generative Al models42:30🔒
what are Dali-E, ChatGPT and Bard?42:30🔒

Learning Outcomes:

  • Upon Completing Learners will gain solid expertise in AI, machine learning, and robotics; are skilled at designing, implementing, and evaluating intelligent systems; and develop strong critical thinking, problem-solving, innovation, ethical judgement, teamwork, and communication capabilities rooted in responsible development.





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Price

₹3500

Course Title

Artificial Intelligence

Language

English

Certification

Yes - Industry Recognized

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FAQs

The course duration is of 2 months & some course may extend to 3 months

Yes at the end of the course completion you will get certificates.

ABCPanda team will arrange a doubt clearance session accordingly.

Yes, for Recorded sessions & Live sessions access would be 1 year

No our mentors will teach from basic. If you have experience, it would add an advantage.