Data Science with Agentic AI online course

Our Data Science with Agentic AI training programme brings together traditional data science techniques and modern AI technologies. Learners begin with SQL, Python, data analysis, mathematics, and statistics before progressing to machine learning, deep learning, natural language processing, Generative AI, and Agentic AI.

The 15-month programme includes 13 modules across five learning phases, helping students progress from working with structured data to developing intelligent AI applications. Through guided coding, practical exercises, case studies, and GitHub portfolio projects, learners gain experience applying their knowledge to real-world problems.

What You Will Learn in Our Data Science with Agentic AI Course

The curriculum follows a step-by-step learning approach, starting with programming and data foundations and progressing towards intelligent AI systems.

Python Programming and Data Analysis

Learn Python programming fundamentals, data structures, functions, and object-oriented programming. Develop practical skills in SQL and MySQL for database management and querying. Explore NumPy and Pandas for data manipulation, cleaning, and exploratory data analysis. You will also learn to create visualisations using Matplotlib, Seaborn, and Plotly to communicate insights effectively.

Statistics, Machine Learning and Predictive Analytics

Build a foundation in mathematics, probability, and statistics for data science. Understand supervised and unsupervised machine learning, regression, classification, clustering, feature engineering, and model evaluation. Explore predictive analytics applications such as fraud detection, customer churn prediction, loan default risk analysis, demand forecasting, and recommendation systems.

Generative AI, LLMs and AI Agents

Understand Generative AI, large language models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG). Learn how to work with language model APIs and develop applications such as document assistants, support chatbots, resume screeners, and summarisation tools. Progress towards Agentic AI concepts, including reasoning patterns, tool calling, memory, and autonomous task execution.

Agentic AI Frameworks and Workflow Automation

Learn how AI agents interact with tools, follow multi-step workflows, and coordinate tasks. Explore frameworks and technologies such as LangChain, LangGraph, CrewAI, AutoGen, and the OpenAI Agents SDK. Understand multi-agent systems, human-in-the-loop workflows, agent evaluation, guardrails, and deployment using FastAPI. The curriculum also introduces workflow tools such as n8n, Langflow, and Flowise.

Real-World Projects and Case Studies

Apply your knowledge through practical projects across data analytics, machine learning, deep learning, NLP, Generative AI, and Agentic AI. Build a GitHub portfolio module by module, with examples including customer segmentation, fraud detection, sentiment analysis, document-based AI assistants, and multi-agent content workflows.

Tools and Technologies Covered in Data Science with Agentic AI Training

The programme covers a broad range of tools used in data science and AI development. These include Python, MySQL, PostgreSQL, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, XGBoost, TensorFlow, PyTorch, and Hugging Face Transformers.

For deployment and production workflows, learners explore FastAPI, Streamlit, MLflow, Docker, GitHub Actions, and cloud platforms such as AWS, Azure, and GCP. The Generative AI and Agentic AI modules include OpenAI, Anthropic, and Gemini APIs, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, vector databases, and other relevant AI frameworks.

Why Choose Brillica Services for Data Science with Agentic AI Training?

Brillica Services focuses on practical learning, structured training, and career preparation. The programme combines concept explanations, live coding demonstrations, guided practice, and independent exercises to help learners understand how data science and AI techniques work in real applications.

Students work on portfolio projects throughout the curriculum and receive support with resume and portfolio building, mock interviews, soft-skills training, and interview preparation. Brillica also provides placement assistance and connects learners with hiring opportunities through its placement team. Successful course completion includes a Certificate of Completion from Brillica Services.

Data Science with Agentic AI Course Duration

The Data Science with Agentic AI course duration is 15 months. The programme consists of 13 modules organised into five phases, progressing from data foundations and mathematics to machine learning, deep learning, Generative AI, and Agentic AI. The curriculum specifies 450 class days, with two-hour sessions. The suggested learning schedule is five days per week, allowing learners to follow a structured progression through the course.

Data Science with Agentic AI Course Fees

The Data Science with Agentic AI course fees range from ₹80,000 to ₹1,10,000. The final fee may depend on the selected programme and applicable admission terms. Learners can contact Brillica Services to confirm the current fee, available payment options, and any applicable No Cost EMI facility. Before enrolling, ask the counselling team for a detailed fee breakdown, course syllabus, upcoming batch schedule, and information about the facilities and career support included in the programme.

Who Can Join Our Data Science with Agentic AI Course?

The programme is suitable for learners who want to build a foundation in data science and progress towards advanced AI applications.

Students and Freshers

Students and freshers interested in programming, analytics, machine learning, and artificial intelligence can explore this structured learning path.

Working Professionals

Professionals looking to upgrade their technical skills or explore career opportunities in data science and AI can learn through practical exercises and projects.

Data Analysts and Aspiring Data Scientists

Data analysts can strengthen their knowledge of predictive modelling, machine learning, Generative AI, and AI-powered workflows.

Developers Interested in AI

Python developers and software professionals interested in building LLM-powered applications and autonomous AI agents can explore the advanced modules.

Data Science with Agentic AI Course Eligibility

The course begins with foundational topics, including an introduction to data science, SQL, and Python programming. This progression can help learners build their knowledge step by step. An interest in mathematics, statistics, programming, and problem-solving is beneficial. However, the exact educational qualifications, prior programming requirements, and admission criteria should be confirmed with Brillica Services before enrolment.

Career Opportunities After Data Science with Agentic AI Course

Completing a Data Science and Agentic AI course can help learners prepare for several technology-focused career paths, depending on their practical skills, experience, portfolio, and employer requirements.

Data Scientist

Analyse datasets, identify patterns, build predictive models, and support data-driven business decisions.

Machine Learning Engineer

Develop, evaluate, and deploy machine learning models for applications such as forecasting, classification, and recommendation systems.

AI Engineer

Build AI-powered applications using machine learning, deep learning, and Generative AI technologies.

Agentic AI Developer

Develop AI agents that use tools, manage multi-step tasks, interact with data sources, and support automated workflows.

Data Analyst

Use SQL, Python, statistics, and data visualisation to analyse information and communicate actionable insights.

Other potential career paths include MLOps Engineer, NLP Engineer, and Generative AI Engineer, depending on the learner's specialisation and practical capabilities.

Projects Included in Data Science with Agentic AI Training

The programme includes portfolio projects across its 13 modules, with projects pushed to GitHub to help learners demonstrate their practical skills. Examples listed in the curriculum include e-commerce analytics, customer segmentation, fraud detection, demand forecasting, plant disease detection, sentiment analysis, and resume screening.

The Generative AI and Agentic AI modules include projects such as chat with documents using RAG, support chatbots, invoice extraction, research report agents, natural-language-to-SQL analysts, multi-agent content teams, and AI hiring assistants. These projects help learners explore how data science and AI can address practical business problems.

Placement Assistance After Data Science with Agentic AI Training

Brillica Services provides career preparation and placement assistance to help learners prepare for relevant opportunities. Support outlined in the programme includes resume and portfolio building, mock interviews, soft-skills sessions, interview preparation, and coordination with hiring partners. The placement team also supports learners through interview opportunities and career guidance. Actual hiring outcomes depend on individual skills, performance, experience, and employer requirements; placement assistance does not guarantee a job.

Enrol in the Data Science with Agentic AI Course at Brillica Services

Build your skills in data science, machine learning, Generative AI, and Agentic AI through a structured programme with practical projects and career preparation. Contact Brillica Services to enquire about the detailed syllabus, current course fees, upcoming batches, admission requirements, or a demo session. Take the next step towards developing industry-relevant data and AI skills.