Diploma in Artificial Intelligence

All the topics mentioned in the Data science course. 

Gain a deep understanding of AI's core principles, history, decision-making algorithms, and ethical considerations in AI development.

Learn generative models like GANs and VAEs, and advanced applications in image, text, and multi-modal generation, while addressing evaluation metrics and bias concerns.

Study transformer architectures and techniques for fine-tuning models like GPT and BERT for tasks such as text generation, summarization, and more.

Master integrating AI functionalities into applications through APIs for tasks like text analysis and image recognition, focusing on customization, security, and practical implementation.

Understand the techniques for making AI models interpretable and transparent, enhancing trust and usability.

Dive into cutting-edge generative models, including GANs, VAEs, and Multi-Model techniques, for state-of-the-art AI applications.

Explore sophisticated architectures like Mixture of Experts (MoE), Retrieval-Augmented Generation (RAG), and hybrid AI models for advanced problem-solving.

Learn the structure, functioning, and applications of GNNs in solving problems involving networked data.

Delve into search algorithms, optimization techniques, and the role of knowledge-based agents in AI-driven systems.

• Artificial Intelligence Engineer 
• Data Scientist
• Machine Learning Scientist 
• AI Research Scientist 
• Robotics Engineer 
• Computer Vision Engineer 
• Natural Language Processing (NLP) Engineer 

• Deep Learning Specialist 
• AI Solutions Architect 
• Cognitive Computing Developer 
• AI Product Manager 
• Head of AI / Director of AI
• Chief AI Officer

• Data Science is about interpreting and analyzing data to solve problems and improve decision-making. 
• Artificial Intelligence goes a step beyond by developing models and algorithms that can simulate intelligent behavior, solve problems autonomously, and continuously improve through learning. 

In short, AI develops systems that can take actions based on the data and insights, while Data Science provides the tools and techniques to analyze that data. 

The Expert and Mastery courses provide advanced knowledge, including cutting-edge AI topics like Generative AI and Large Language Models, with more real-time projects and internships. These courses prepare you for specialized roles and leadership opportunities, offering deeper expertise than the Professional level.

Yes! You can continue your AI course while working in Data Analytics or Data Science. Our flexible learning options allow you to manage both your job and course at your own pace, ensuring you gain advanced AI skills while gaining real-world experience.

Our AI courses come with certifications in both Data Analytics and Data Science, along with the specialized AI certifications.

1. AI Professional Course includes Data Analytics – Professional and Data Science – Professional certifications.
2. AI Expert Course includes Data Analytics – Expert and Data Science – Expert certifications.
3. AI Mastery Course includes Data Analytics – Mastery and Data Science – Mastery certifications.

These certifications ensure a comprehensive skill set in AI, Data Analytics, and Data Science, preparing you for diverse roles in the tech industry.

No prior coding knowledge is required! We start with the basics and teach tools like Python, SQL, and machine learning in an easy-to-understand way.