Explore Learning Tracks

Discover comprehensive virtual internship programs designed to accelerate your career growth

Mlops Intermediate

Scalable MLOps with Kubernetes Virtual Internship

In this virtual internship, students will learn how to build and deploy machine learning models at scale using Kubernetes and cloud-native technologies. They will gain hands-on experience with tools like MLflow, Kubeflow, Airflow, Docker, and Kubernetes, and learn best practices for model monitoring and deployment.

180 hours
550 points
0 learners
Marketing Intermediate

Influencer Marketing & Brand Partnerships Virtual Internship

In this virtual internship, students will develop expertise in influencer marketing and brand partnerships. They will learn how to identify and collaborate with influential content creators, build and manage successful influencer campaigns, and leverage strategic brand partnerships to drive growth and engagement. By the end of the program, students will have a portfolio of work demonstrating their ability to execute end-to-end influencer marketing initiatives and forge valuable brand relationships.

180 hours
1525 points
0 learners
Marketing Intermediate

Video Marketing Mastery Virtual Internship

In this 12-week Video Marketing Mastery Virtual Internship, students will develop a comprehensive video marketing strategy, from ideation and production to distribution and analytics. They will learn to create engaging video content, optimize it for various platforms, and measure its performance to drive business results. By the end of the internship, students will have a portfolio of video marketing assets and the skills to succeed as a video marketing specialist.

180 hours
2950 points
0 learners
Machine-Learning Intermediate

Edge Machine Learning for IoT Virtual Internship

In this virtual internship, students will learn how to deploy and optimize machine learning models to run on resource-constrained edge devices like sensors and microcontrollers. They will explore techniques for model compression, quantization, and hardware acceleration to enable efficient inference at the edge. Students will also gain hands-on experience in developing and deploying end-to-end IoT solutions that leverage edge machine learning.

180 hours
900 points
0 learners
Marketing Advanced

Augmented Reality Marketing Virtual Internship

In this advanced virtual internship, students will explore the use of augmented reality (AR) to create immersive, interactive marketing experiences that drive engagement and sales. They will learn to leverage AR technology to enhance product visualization, create interactive campaigns, and measure the impact on customer behavior and conversions. By the end of the internship, students will have a portfolio of AR marketing projects and the skills to integrate AR into their future marketing strategies.

210 hours
2200 points
0 learners
Machine-Learning Beginner

Automated Machine Learning Virtual Internship

In this Automated Machine Learning Virtual Internship, students will learn how to leverage AutoML tools and techniques to streamline the machine learning model development lifecycle, from data preprocessing to model deployment. They will gain hands-on experience in automating various steps of the ML pipeline, including data cleaning, feature engineering, model selection, and model tuning. By the end of the internship, students will be equipped with the skills to build and deploy efficient machine learning models without the need for extensive manual intervention.

150 hours
1400 points
0 learners
Marketing Intermediate

Programmatic Advertising Virtual Internship

In this Programmatic Advertising Virtual Internship, students will learn to leverage data-driven, automated ad buying to optimize digital advertising campaigns and maximize ROI. They will gain hands-on experience with industry-leading tools and platforms, developing the skills needed to excel in a fast-paced, digital marketing environment.

180 hours
900 points
0 learners
Machine-Learning Advanced

Generative AI Content Creation Virtual Internship

In this advanced virtual internship, students will explore the use of generative adversarial networks (GANs) and variational autoencoders (VAEs) to generate synthetic media like images, text, and audio. Through hands-on projects, students will learn how to build and train these models, as well as how to apply them to real-world use cases. Upon completion, students will have a strong understanding of generative AI and the skills to create their own synthetic media.

210 hours
800 points
0 learners
Marketing Advanced

Omnichannel Retail Marketing Virtual Internship

In this advanced virtual internship, students will develop an integrated omnichannel marketing strategy to deliver a seamless customer experience across physical and digital channels. They will learn to leverage data and analytics to optimize marketing campaigns, create engaging content, and measure the impact of their efforts. By the end of the internship, students will be equipped with the skills to excel in a career in omnichannel retail marketing.

210 hours
1600 points
0 learners
Marketing Intermediate

Conversational Marketing with Chatbots Virtual Internship

In this virtual internship, students will learn how to design and implement chatbot experiences to automate lead generation, customer support, and other marketing functions. They will gain hands-on experience in building conversational interfaces, integrating chatbots with marketing tools, and optimizing chatbot performance to drive business results.

180 hours
600 points
0 learners
Machine-Learning Advanced

Explainable AI Development Virtual Internship

In this advanced virtual internship, students will learn to build interpretable machine learning models and develop techniques to explain model decisions. The goal is to improve trust and transparency in AI systems, which is crucial as these technologies become more prevalent. Students will gain hands-on experience with state-of-the-art explainable AI methods and apply them to real-world machine learning problems. Upon completion, students will be equipped with the skills to develop AI systems that are more understandable and trustworthy.

210 hours
1550 points
0 learners
Machine-Learning Intermediate

Federated Learning for Privacy-Preserving AI Virtual Internship

In this virtual internship, students will learn how to implement federated learning techniques to train machine learning models without centralizing sensitive user data. They will gain hands-on experience in building privacy-preserving AI systems, which is a critical skill in today's data-driven world. Upon completion, students will be equipped with the knowledge and practical skills to develop secure and ethical AI applications.

180 hours
1000 points
0 learners