Artificial Intelligence
& Machine Learning
Training Programs
Unlock the value of data, and ultimately transform business models, industries, and work experiences.
As an authorized learning partner of AWS, Cisco, Google, and Microsoft, we offer each vendor's official Data Science, Artificial Intelligence (AI) and Machine Learning (ML) training curriculum.
Company Training
AI E-Learning
We have deep experience delivering enterprise skilling and corporate academies to all industries across all roles. Our portfolio features industry-leading education, programs, and services. We can help you in designing and deploying data driven products adding real value to users and achieving measurable business outcomes.
Artificial Intelligence & Machine Learning Training
Do you have any questions about our training offerings? Simply let us know your requirements using our contact form and we will be happy to advise you!
Next-Generation AI Training
AI Fundamentals
Next Generation AI in a Day
- Master Class: Microsoft Copilot for Decision Makers (MCDM)
- Master Class: Exploring Generative AI for Decision Makers: in a Day (GAIDM)
- Master Class: OpenAI ChatGPT Capabilities, Use Cases and Integrations (HSOAICGPT)
- Master Class: Github Copilot Introduction (GHCI)
- Master Class: Microsoft Fabric for Decision Makers (MFDM)
Microsoft AI, Copilot, Power BI & Data Analytics Training
- NUEVO Manage and extend Microsoft 365 Copilot (MS-4017)
- Implement a Data Analytics Solution with Azure Databricks (DP-3011)
- Develop dynamic reports with Microsoft Power BI (DP-605T00)
- Getting Started with Cosmos DB NoSQL Development (DP-3015)
- NUEVO Empower your workforce with Copilot for Microsoft 365 Use Cases (MS-4004)
- Craft effective prompts for Microsoft Copilot for Microsoft 365 (MS-4005)
- Machine learning with Azure Databricks (DP-3014)
- Copilot for Microsoft 365 for Administrators (MS-4006)
- Copilot Foundations (AI-3018)
- Extend Microsoft 365 Copilot with Copilot Studio actions and connectors (MS-4009)
- Create and extend custom copilots in Microsoft Copilot Studio (PL-7008)
- Microsoft AI for business leaders (AI-3017)
- Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
- Copilot for Microsoft 365 Interactive Experience for Executives (MS-4008)
- Build connectors and plugins for Microsoft Copilot for Microsoft 365 (MS-4010)
- Master Class: Microsoft Fabric for Decision Makers (MFDM)
- Implementing a Lakehouse with Microsoft Fabric (DP-601T00)
- Master Class: Microsoft Fabric, OneLake and Power BI (MFOPBI)
- Master Class: Microsoft Copilot for Decision Makers (MCDM)
- Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)
- Develop Generative AI Solutions with Azure OpenAI Service (AI-050T00)
- Master Class: Github Copilot Introduction (GHCI)
- Microsoft Fabric Analytics Engineer (DP-600T00)
- Administering Microsoft Azure SQL Solutions (DP-300T00)
- Microsoft Power BI Data Analyst (PL-300T00)
- Designing and Implementing a Data Science Solution on Azure (DP-100T01)
- Transact-SQL Querying (DP-080T00)
- Microsoft Azure Data Fundamentals (DP-900T00)
- Microsoft Azure Enterprise Data Analyst (DP-500T00)
- Microsoft Azure AI Fundamentals (AI-900T00)
- Data Engineering on Microsoft Azure (DP-203T00)
NVIDIA Training
Deep Learning
- Fundamentals of Deep Learning (FDL)
- Building Transformer-Based Natural Language Processing Applications (BNLPA)
- Applications of AI for Anomaly Detection (AAAD)
- Applications of AI for Predictive Maintenance (AAPM)
- Building AI-Based Cybersecurity Pipelines (BABCP)
- Building Conversational AI Applications (BCAA)
- Computer Vision for Industrial Inspection (CVII)
- Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (DPHTDLM)
- Model Parallelism: Building and Deploying Large Neural Networks (MPBDLNN)
appliedAI Training
AWS Data & AI Training
- The Machine Learning Pipeline on AWS (ML-PIPE)
- Amazon SageMaker Studio for Data Scientists (ASSDS)
- NUEVO Developing Generative AI Applications on AWS (DGAIA)
- NUEVO Generative AI for Executives (GENAIEX)
- Deep Learning on AWS (AWSDL)
- MLOps Engineering on AWS (MLOE)
- Practical Data Science with Amazon SageMaker (PDSASM)
CertNexus
View Webinar: AI Is Changing Your Business, Is Your Business Ready?
Google Cloud Data & AI Training
- Understanding Cloud Spanner (UCS)
- Migrating Snowflake Users to BigQuery (MSUBQ)
- Machine Learning on Google Cloud (MLGC)
- Introduction to Responsible AI in Practice (IRAP)
- Migrating Amazon Redshift Users to BigQuery (MARUBQ)
- Looker Developer Deep Dive (LDDD)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- Customer Experiences with Contact Center AI - Dialogflow CX (CCAIDCX)
- From Data to Insights with Google Cloud Platform (DIGCP)
- Serverless Data Processing with Dataflow (SDPF)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
- Analyzing and Visualizing Data with Looker (AVDL)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Google Cloud Certified Professional Data Engineer Packet (GC-PDE-PACK)
- Customer Experiences with Contact Center AI - Dialogflow ES (CCAIDES)
- Data Engineering on Google Cloud Platform (DEGCP)
- Developing Data Models with LookML (DDMLML)
AI & Data Science
- Application Development with LLMs on Google Cloud (ADLGC)
- Vertex AI Agent Builder (VAISC)
- Industry Use Cases for Generative AI (IUCGAI)
- Writing Effective Prompts for Generative AI (WEPGAI)
- NUEVO Empower Decision Makers with Generative AI (EDMGA)
- NUEVO Vertex AI for Machine Learning Practitioners (VAIMLP)
- Introduction to Developer Efficiency with Gemini on Google Cloud (IDEGC)
- Introduction to AI and Machine Learning on Google Cloud (AIMLGC)
- Master Class: Exploring Generative AI for Decision Makers: in a Day (GAIDM)
- Introduction to Responsible AI in Practice (IRAP)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Machine Learning on Google Cloud (MLGC)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
