Artificial Intelligence and Machine Learning (AI ML) Course
SAS Academy Applied AI & ML with GenAI and Agentic AI
This Artificial Intelligence and Machine Learning (AI ML) course from the SAS Academy for Data & AI Excellence is one of the best online, mentor-led AI ML courses for beginners and working professionals in India and globally.
The program follows a 2-level certification pathway, building practical capability in machine learning, advanced artificial intelligence, and AI engineering:
Level 1 is a Machine Learning course covering statistical foundations, supervised learning and practical model building, forming the core of applied data science skills.
Level 2 is an advanced Artificial Intelligence course that covers deep learning, Generative AI, Agentic AI systems and ModelOps on SAS Viya preparing for Artificial Intelligence Engineer and advanced AI roles.
Learners receive an SAS Academy certificate, digital badges, and globally recognised AI ML certifications, enabling industry-ready skills and placement readiness.
PROGRAM OVERVIEW
CAREER OUTCOMES
After completing this AI and Machine Learning program, learners are prepared to:
- Build and deploy machine learning and AI solutions using SAS Viya and Python
- Apply advanced AI methods, including GenAI workflows and prompt engineering
- Work on real-world projects, including a full industry-aligned capstone
- Follow Responsible AI principles for ethical and scalable deployment
- Progress into roles such as Machine Learning Engineer, AI Engineer, Data Scientist, AI Developer, or GenAI Integration Lead
CURRICULUM
This 151.5 hours’ duration AI ML course syllabus builds a clear progression from core machine learning to advanced Artificial Intelligence.
The first stage develops applied ML capability through statistics, supervised learning, workflow design and visual insights, while the advanced stage focuses on deep learning, NLP, Generative AI, Agentic AI systems and ModelOps.
Together, the curriculum strengthens practical data science skills and prepares learners for modern AI engineering and deployment focused roles.
Level 1: Professional Machine Learning (70 hours)
- This level functions as a complete Machine Learning certification course and develops applied ML and data science capability through statistics, supervised learning, scalable workflows and visual insights using SAS Viya and Python.
- Statistics for Machine Learning
Covers regression, logistic regression, and bias–variance.
- Performance Optimization
Build scalable workflows on SAS Viya.
- Python with SAS Viya
Applied artificial intelligence coding course skills.
- Core Machine Learning Methods
Develop decision trees, ensembles, neural networks, and SVMs.
- Visual Analytics Dashboards
For data exploration for AI and business intelligence. - Outcome: Completion of this level enables learners to appear for the ML certification exam and provides the applied machine learning foundation needed for advanced AI work in Level 2.
Level 2: Advanced Artificial Intelligence (81.5 hours)
Level 2 builds applied Artificial Intelligence capability, focusing on how advanced AI systems are designed, deployed, and operated in real enterprise environments. It covers the full AI lifecycle across deep learning, NLP, Generative AI, Agentic AI, and ModelOps on SAS Viya.
Key components include:
- Deep Learning with Neural Networks
Implementation of CNNs and RNNs for image, sequence, and time-based use cases
- Natural Language Processing and Text Analytics
Tokenisation, vectorisation, topic modelling, sequence modelling, and applied NLP pipelines
- Generative AI and Synthetic Data
Hands-on work with GANs, SMOTE, and data augmentation techniques
- Large Language Models and Agentic AI Workflows
Registration, deployment, monitoring, and orchestration of LLMs and agent-based pipelines
- ModelOps and AI Lifecycle Management
Model scoring, monitoring, versioning, governance, and operational deployment
- Decision Automation
Rule-based and model-driven decisioning integrated into business workflows
- Capstone Project
An industry-guided project integrating ML, AI, GenAI, and ModelOps in domains such as finance, marketing, or operations
Outcome
Completion of Level 2 prepares learners to work on production AI systems and supports progression into advanced AI engineering and data science roles, along with eligibility for advanced SAS AI and ML certifications.
LEARNING EXPERIENCE AND SUPPORT
- Live weekend online classes
- 12-month eLearning access
- Session recordings for flexible revision
- Hands-on labs and project guidance
- Official SAS course material, assessments, and exam preparation resources.
CERTIFICATIONS AND CREDENTIALS
This track prepares learners for the following SAS global certifications, earned through official assessments aligned to the curriculum:
- SAS Certified Specialist: Machine Learning Using SAS® Viya®
- SAS Certified Specialist: Natural Language Processing and Computer Vision Using SAS® Viya®
- SAS Certified ModelOps Specialist.
Together, these specialist certifications form the progression pathway toward the AI ML Certification credential.
Learners also receive an SAS Academy Track Completion Certificates and official SAS digital and knowledge badges upon successful completion of the program and certification requirements.
“The SAS Certified AI & ML course strengthened my hands-on skills in machine learning, and analytics, and helped me progress into more advanced, real-world roles.”
— Mohammad Kazi, SAS Academy Graduate
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Get details on fees, schedule, detailed curriculum, and more.
FREQUENTLY ASKED QUESTIONS (FAQS)
Find answers to the most common queries about the SAS Academy Applied AI and Machine Learning (AI ML) Certification Course Online, including eligibility, learning format, certification pathway, and career outcomes for beginners and working professionals in India.
1. Is this AI ML course suitable for working professionals?
This online Artificial Intelligence and Machine Learning (AI ML) course is designed for beginners and working professionals who want to upskill or transition into advanced AI roles.
The mentor-led weekend format, live online sessions, and applied project work allow learners to continue full-time jobs while building job-ready AI and ML skills.
2. Is this an Advanced Artificial Intelligence course?
This is an advanced Artificial Intelligence and Machine Learning certification program that focuses on real-world application.
This Applied Artificial Intelligence Course covers deep learning, Generative AI, Agentic AI, and ModelOps in addition to core ML concepts. Learners gain practical exposure to designing, training, and deploying AI models using SAS Viya and Python, making it suitable for professionals aiming to build advanced, production-ready AI skills.
3. Is this a Machine Learning course?
The Level 1 of this program is the Machine Learning course with certification. It covers statistical foundations, supervised and unsupervised learning, regression, classification, and practical model building using SAS Viya and Python, forming the base for advanced Artificial Intelligence topics in Level 2.
4. How is this Artificial Intelligence and Machine Learning course different from others?
Unlike theory-heavy programs, this Applied AI ML course combines live weekend instruction, enterprise-grade tools, and practical model-building workflows.
Learners train on SAS Viya and Python, gain exposure to ModelOps and deployment, and become eligible for official SAS certifications that are globally recognised by employers.
5. Is this Artificial Intelligence and Machine Learning course delivered online?
Yes. This Artificial Intelligence and Machine Learning course is delivered entirely online through live interactive sessions.
Learners can attend from India and international locations, with access to hands-on labs, instructor guidance, and recorded sessions for flexible learning.
6. What roles does this AI ML course prepare learners for?
This Artificial Intelligence and Machine Learning course prepares learners for roles such as Artificial Intelligence Engineer, Machine Learning Engineer, AI Developer, GenAI Specialist, and advanced applied AI roles.
The program focuses on practical model development, deployment, and operational AI skills used in enterprise environments.
7. Does this certification course include AI ML certification?
Yes. This Artificial Intelligence and Machine Learning course provides eligibility for global SAS certifications, including Machine Learning, Natural Language Processing, Computer Vision, and ModelOps credentials.
These SAS certifications validate applied AI and ML skills that are recognised by employers worldwide.
8. Is this a Data Science course?
The SAS Academy for Data & AI Excellence offers a comprehensive learning pathway that is widely recognised as a strong Data Science course pathway.
Through its integrated programs, learners build statistical reasoning, data preparation, machine learning, artificial intelligence, and deployment skills required for real-world data science roles in modern organisations.
About SAS Academy for Data & AI Excellence
SAS Academy for Data & AI Excellence is the official learning and certification initiative from SAS, a global leader in analytics and artificial intelligence. It delivers structured, industry-aligned programs that build practical skills in data, analytics, and AI. Learners gain hands-on experience and earn recognised credentials aligned with real-world enterprise use cases.
For career guides, videos, and featured articles covering GenAI-era roles, skills, and learning pathways, visit Data & AI Career Guide → and Data & AI Insights Hub →
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