• Build a strong foundation in Python programming, covering both procedural and object-oriented paradigms, along with setup and key advantages.
• Learn to code efficiently using tools like Jupyter Notebook and popular Python IDEs.
• Master essential Python concepts, including data types, operators, loops, and variable scope.
• Dive into object-oriented programming, with a focus on methods, attributes, and access control.

• Learn key Python tools and techniques specifically designed for data science applications.
• Develop core Python competencies aligned with diverse roles in the data science domain.
• Experience a blended learning approach to strengthen your grasp of foundational data science principles.
• Apply your knowledge through hands-on projects, gaining practical insights and real-world experience.

• Immerse yourself in 40+ hours of applied learning through interactive labs and real-time sessions.
• Strengthen your skills by working on 4 hands-on, industry-relevant projects.
• Receive continuous guidance and support from dedicated mentors throughout your learning journey.
• Gain in-depth mastery of core Machine Learning concepts to confidently pursue certification.

• Understand the key differences between deep learning and machine learning, and explore various types of neural networks.
• Build expertise in forward and backward propagation, hyperparameter tuning, and interpreting model performance.
• Master essential deep learning methods, including dropout, early stopping, convolutional neural networks (CNNs), object detection, and recurrent neural networks (RNNs).
• Gain a solid foundation in PyTorch and learn to design, train, and optimize neural networks efficiently.

• Preparing for the Microsoft Azure Fundamentals (AI-900) certification exam by gaining a solid understanding of Azure cloud services, including their benefits, types, and key components, with a particular emphasis on AI applications. 
• The course covers cost management, governance, and compliance within a cloud environment. 
• Hands-on experience is provided to build confidence in using Azure. This comprehensive knowledge equips you to effectively leverage Azure for AI-driven solutions.

• Introduction to Microsoft Copilot and its key features.
• Creating copilots using the Microsoft Copilot Studio interface.
• Exploring bot publishing and techniques for performance analysis.
• Developing Retrieval-Augmented Generation (RAG) based Copilot solutions and understanding language model grounding.
• Fundamentals of prompt flow for efficient Copilot development.

The capstone project represents the culmination of all the skills and knowledge you've gained throughout this program. You will apply AI and machine learning techniques to address industry-specific challenges. This hands-on project is designed to demonstrate your expertise in real-world scenarios, providing you with a valuable portfolio piece to showcase to potential employers.

• Delve into the fundamental concepts of AI and the core principles of generative AI.
• Understand the importance of explainable AI in today’s applications.
• Apply prompt engineering strategies to enhance the effectiveness of generative AI.
• Explore the architecture, capabilities, limitations, and various use cases of ChatGPT.
• Discover emerging trends, future prospects, and potential challenges in the field of generative AI.

• Acquire a deep understanding of natural language processing (NLP) and its role in analyzing large-scale language data.
• Learn to apply machine learning algorithms to enhance NLP capabilities.
• Explore how NLP serves as a critical driver in the growth of the AI market.
• Build the foundational skills required to launch a career as an NLP Engineer.

• Learn about the pivotal role transformers play in contemporary AI applications.
• Assess how neural networks perform in executing generative tasks.
• Differentiate between VAEs, GANs, transformers, and autoencoders, and identify the best use cases for each model.
• Examine the influence of attention mechanisms in a range of generative AI tasks.
• Compare the architectures of GPT and BERT, highlighting their distinct goals and applications within generative AI.

Join live online sessions led by Microsoft industry experts to explore the latest developments in AI.

Create backend modules for NVidya Tech’s platform, manage learner credentials and courses, enhance user experience, and support interface upgrades.

Analyze sales data by state, identifying top revenue states and guiding sales programs for weaker regions to support expansion decisions.

Conduct EDA and hypothesis testing to explore customer acquisition factors, enhancing marketing strategies based on behavior and product performance.

Build an ML model for Portobello Tech to predict attrition, analyzing work habits, tenure, and satisfaction levels to inform employee retention strategies.

Use cluster analysis to create personalized playlists based on user behavior, improving song recommendations and enhancing customer engagement.

Develop a deep learning model to predict loan defaults with imbalanced data, using historical data for a more secure lending process.

Create a deep learning model for Lending Club to predict loan defaults using 2007-2015 data, tackling imbalanced data challenges for risk assessment.

Design interactive storytelling with ChatGPT, enabling collaborative narrative building without coding and enhancing creative writing skills.

Develop prompts enabling ChatGPT to provide project management advice, focusing on planning, risk management, and team collaboration guidance.

Build an HR assistant using OpenAI GPT and Gradio to answer policy-related questions by extracting data from PDFs for efficient HR support.

Create a platform using DALL-E and Gradio UI that transforms text prompts into designs, showcasing AI’s role in digital marketing creativity.

The program is presented by NVidya and powered by Microsoft, blending Microsoft’s industry-leading expertise with NVidya’s innovative learning approach.

Upon completion, learners will receive a prestigious joint certificate from Microsoft and NVidya, along with individual certificates for each course module. Additionally, a Microsoft Learn Badge will be awarded to highlight their accomplishments.

The program offers over 140 hours of live instruction, 25+ hands-on projects, a capstone project, AI-900 certification preparation, masterclasses led by Microsoft-certified experts, and access to cutting-edge tools such as TensorFlow, PyTorch, and Azure OpenAI.

Candidates must be at least 18 years old and hold a high school diploma or equivalent. While prior professional experience is preferred, it is not required. A basic understanding of programming and mathematics is recommended.

Learners will gain practical experience with tools and platforms like Python, TensorFlow, PyTorch, Azure OpenAI, ChatGPT, DALL-E, and other advanced AI technologies.

This program stands out by merging NVidya’s educational expertise with Microsoft’s industry insights, providing certifications, hands-on projects, and real-world applications that equip learners for meaningful AI careers.