Artificial Intelligence

Shaping Tomorrow, Today

AI or Artificial Intelligence, refers to the simulation of human intelligence in machines that are designed to think and learn like humans. This can include a wide range of techniques and technologies, such as machine learning, deep learning, natural language processing, and robotics.

The goal of AI is to create systems/software/machines that can perform tasks that normally require human intelligence, such as understanding language, recognising objects, making decisions, and solving problems. AI has the potential to revolutionise many industries, including healthcare, finance, transportation, and entertainment, by automating processes, improving efficiency, and enhancing the human experience.

AI can perform tasks that typically require human intelligence, such as:

Artificial Intelligence involves a range of techniques, including:

AI applications are diverse and widespread, including:

The benefits of AI include:

AI also raises important ethical and societal concerns, such as:

Gen AI or Generative AI refers to a type of artificial intelligence that uses complex algorithms to generate new, original content, such as images, videos, music, text, or even entire conversations. This content is created based on patterns, relationships, and structures learned from large datasets and training models.

Generative AI models, like GANs (Generative Adversarial Networks), transformers, and variational auto-encoders, have the ability to produce highly realistic and diverse outputs.

They can be used for a wide range of applications, such as:

The possibilities are endless, and the field of generative AI is rapidly evolving. However, it also raises important questions about authorship, accountability, and the potential for misuse.

Courses on AI and Gen AI

Applied AI
GitHub CoPilot
Cyber Security in AL & ML
Generative AI with Diffusion Models
Operational AI using MLOps
Data Engineering, ETL, and DataOps
Advanced Generative AI
Lang Chain and LLM in Generative AI
Certified Data Engineer Professional
Build Autonomous Tools Using Generative AI
Data Science and Machine Learning using PySpark
Generative AI and Prompt Engineering
Generative AI for Business Leaders, Sales and Marketing Teams
Advanced NLP and Neural Networks
Generative AI for Leaders and Business Professionals
Build Operational Flows in Generative AI using LLMOps
Implementing Machine Learning and Deep Learning
Prompt Engineering: Techniques and Best Practices
Machine Learning, Data Science and Generative AI using Python
Build Operational Flows in Generative AI using LLMOps
Implementing Machine Learning and Deep Learning
Conversational AI
AL & ML in Cyber Security Operations