Artificial Intelligence Course in Chandigarh: Machine Learning, Generative AI & Agentic AI

Build practical AI skills through instructor-led training at Excellence Technology, Sector 34A, Chandigarh. Learn Python, data science, machine learning, deep learning, Generative AI and Agentic AI through guided assignments and portfolio-focused projects based on your selected course track.

Classroom AI Training in Chandigarh | Updated 2026 Curriculum

Average Salary Package: ₹4,30,000 P.A To ₹18,00,000 P.A

Artificial Intelligence course and practical AI training in Chandigarh

UPTO

18 LPA

SALARY
PACKAGE

APPROX.

6 Lakh +

AVERAGE
JOBS IN INDIA

OVER

30 Lakh +

AVERAGE
REMOTE JOBS

RANKED

2 nd

IN-DEMAND
JOB

SIZE

600 +

BILLIONS ($)
INDUSTRY

OVER

1 Billion

DAILY 
USERS

THE EXCELLENCE LEARNING EXPERIENCE

Learn AI by Doing, With Guidance at Every Step.

From classroom concepts to practical projects—build skills with a structured approach.

Practical Classes

Understand, practise, apply

Project Feedback

Improve with trainer guidance

Flexible Learning

Ask about available batches

Career Support

Available in Premium+ programs

Excellence Technology trainer guiding students during computer lab practiceStudents practising in the Excellence Technology computer lab
Classroom learning · Guided projects · Personal support

Why Join Artificial Intelligence Training in Chandigarh?

Artificial Intelligence Training in Chandigarh is designed for students, graduates, working professionals and career switchers who want to build practical skills in one of the fastest-growing areas of technology. At Excellence Technology’s Sector 34A centre, learners follow a structured, industry-oriented learning path that starts with Python, programming fundamentals, data handling and AI concepts and progresses into Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Generative AI and Agentic AI.

Our AI course in Chandigarh focuses on practical learning rather than theory alone. Students work on hands-on exercises, assignments, real-world projects and guided implementation to understand how AI technologies are used to solve business and industry problems.

220 Hrs Instructor Led Training

248 Hrs Project & Exercises

Job Assistance

Lifetime Free Upgrade

204 Hrs Self-paced Videos

Certification

Flexible Schedule

Mentor Support

Talk to Learning Advisor




    Why Choose Excellence Technology for AI Training in Chandigarh?

    Choosing the right AI training institute depends on the curriculum, learning method, trainer support and opportunities to practise what you learn. Excellence Technology provides instructor-led Artificial Intelligence training at its Sector 34A, Chandigarh centre, with course pathways designed for different experience levels and career goals.

    35,00,000+ Jobs Available

    There are over 3.5 Millions jobs available only in India accord. to Indeed & Other big portals.

    No Degree Required

    If You have no degree, you can too join this training.

    Resources

    You Will Find Out Many Useful Resources During Your Training. Join Now

    Interview Preparation

    We Will Also Prepare You For Interview After Completing Your Course.

    Freelancing

    After Completing The Training, You Can Do Freelancing And Make Money From Home.

    Work At A Company

    You Can Also Work at an IT company after completing your training.

    Start Your Own Business

    You Will Be Able To Start Your Business After Training. Join Now

    Room For Innovation

    You Will Learn Many Innovative Thing During Your Training. Join Now

    Work From Anywhere

    After Completing the training, Your Will be able to work from anywhere in the world.

    Excited Industry

    You Will Become A Part Of Excited Industry After Completing Your Training. Join Now

    Growing Industry

    You Will Become A Part Of Growing Industry After Completing Your Training. Join Now

    Highly Demanded

    You Will Become A Part Of High Demanded Industry After Completing Your Training.

    Get Artificial Intelligence Course Recommendations

    Best Artificial Intelligence Training in Chandigarh Course Benefits

    Get hired in four easy steps

    Enroll in a Program

    STEP 1

    Complete courses with mentoring

    STEP 2

    Get placement support - Build resume and attend mock interviews

    STEP 3

    Get hired with Excellence Technology partners

    STEP 4

    Our Placed Students List

    Download the Placement partners list and placed students list.

    Artificial Intelligence Course Syllabus in Chandigarh – 2026 Curriculum

    Our Artificial Intelligence course syllabus in Chandigarh follows a structured, track-based learning pathway for beginners and experienced learners. It begins with Python programming, data handling and AI fundamentals before progressing—according to the selected programme—to data science, machine learning, deep learning, natural language processing, computer vision, Generative AI, RAG, Agentic AI and model deployment.

    ARTIFICIAL INTELLIGENCE SYLLABUS

    • Definition of AI
    • History and evolution of AI
    • AI applications in real-world scenarios
    • Types of machine learning (supervised, unsupervised, reinforcement)
    • Training, validation, and test sets
    • Feature engineering and selection
    • Introduction to Python
    • Data types, variables, and operators
    • Control structures and loops
    • Data cleaning and transformation
    • Handling missing data
    • Data normalization and scaling
    • Basic concepts of neural networks
    • Activation functions
    • Forward and backward propagation
    • Linear regression
    • Logistic regression
    • Support Vector Machines (SVM)
    • K-means clustering
    • Hierarchical clustering
    • Principal Component Analysis (PCA)
    • Text preprocessing
    • Tokenization and stemming
    • Sentiment analysis

    ADVANCE ARTIFICIAL INTELLIGENCE

    • Deep neural networks (DNN)
    • Convolutional Neural Networks (CNN)
    • Recurrent Neural Networks (RNN)
    • Transfer learning
    •  
    • Decision trees and Random Forests
    • Gradient Boosting techniques (XGBoost, LightGBM)
    • Ensemble methods
    • Markov Decision Processes (MDP)
    • Q-learning and policy gradients
    • Applications in game playing and robotics
    •  
    • Word embeddings (Word2Vec, GloVe)
    • Named Entity Recognition (NER)
    • Sequence-to-Sequence models
    • Image classification and object detection
    • Image segmentation
    • Generative Adversarial Networks (GANs)
    • Ethical considerations in AI
    • Addressing bias in AI models
    • Fairness and transparency
    • Model deployment and serving
    • Cloud platforms for AI (AWS, Azure, GCP)
    • Containerization (Docker) and orchestration (Kubernetes)
    • Applying AI techniques to a real-world problem
    • Designing, implementing, and evaluating an AI solution

    Tools & Platforms

    Group Discount

    If you have Three or more people in your training we will be delighted to offer you a group discount.

    Skill you will gain with the Artificial Intelligence training program

    Artificial Intelligence Real Time Projects

    Chatbot-Development-Excellence-Technology

    Chatbot Development

    Create an AI-powered chatbot that can interact with users, answer questions, provide recommendations, and simulate human-like conversations.
    Recommendation-System-Excellence-Technology

    Recommendation System

    Build a recommendation engine that suggests products, movies, or content to users based on their preferences and past behaviors.
    Autonomous-Driving-Simulation-Excellence-Technology

    Healthcare Diagnostics using Medical Imaging:

    Use AI to assist medical professionals in diagnosing diseases from medical images such as X-rays, MRIs, or CT scans.

    Students from these universities and Colleges are
    pursuing Artificial Intelligence Training In Chandigarh at Excellence Technology

    Meet Your Artificial Intelligence Trainers

    Learn with trainer guidance, practical feedback and support at every step.

    Ankita Sharma, AI trainer at Excellence Technology

    Ankita Sharma

    AI Trainer

    4+ Years Experience

    Expertise: Python · Machine Learning · Data Science

    Trainer guidance through concepts, practical assignments and project feedback.

    Naresh

    Naresh

    AI Trainer

    Naresh has been teaching AI for the last 5+ years & has vast knowledge

    Book a FREE class

    with a Certified Trainer

    FREE COURSE GUIDANCE

    Not Sure Which Artificial Intelligence Program Is Right for You?

    Compare course options, fees and upcoming Chandigarh batches with our learning advisor.

    Do you Know?

    Naukri, Indeed, Monsterindia, Shine, Timesjobs, Amazon Jobs, LinkedIn and Angel List Reveal That There Are Over 35,00,000 Open IT Jobs Available In 2026 Only In India.

    BECOME A PART OF IT INDUSTRY NOW. JOIN OUR 100% JOB ORIENTED ARTIFICIAL INTELLIGENCE TRAINING IN CHANDIGARH TODAY AND START BUILDING YOUR CAREER.

    Who can learn Artificial Intelligence?

    Anyone can become a AI Developer. You don’t need to be a technical or possess a bachelor or master degree in it; as long as you’re passionate about the field and willing to learn, a career in AI is well within your reach

    Learn How To Build A agents and gen ai models & Make ₹20,000/Month

    Join our 100% job oriented Artificial Intelligence Training In Chandigarh and acquiring clients. We will help you to find your very first customer for you.

    Student Reviews and Testimonials

    We Have Trained Over 35000+ Students (Offline & Online)  In Past 10 Years & Help Them Get Their 1st Job In IT Companies At Good Salary Packages

    Nishant Thakur

    The AI course provided a clear learning path from Python fundamentals to Machine Learning and Generative AI, making complex concepts easier to understand practically.

    Baljeet Kaur

    I joined the AI Course to upgrade my skills and gained practical experience through projects, assignments, mentorship, and updated AI technologies throughout.

    Nisha

    Excellent AI training with knowledgeable mentors and hands-on projects. I learned Machine Learning, Deep Learning, Generative AI, and practical techniques used in industry.

    Shreya

    The Artificial Intelligence Course at helped me understand Python, Machine Learning, Generative AI, and real-world applications through practical projects and mentorship.

    WHAT ARE YOU WAITING FOR?

    OUR RECRUITERS ARE EAGER TO
    HIRE YOU

    Build practical AI skills through guided assignments and projects at our Sector 34A, Chandigarh centre. Premium, Platinum, Diamond and Diploma programmes include placement assistance, resume guidance and interview preparation. Employment depends on your skills, portfolio, interviews and employer requirements; a job is not guaranteed. Confirm the selected programme, duration and support terms before enrolling.

    Our Recruiters

    OUR CERTIFICATIONS

    We Are Certified By Leading Brands

    What You Will Get at Excellence Technology

    Over the years, Excellence Technology has trained more than 35,000 learners through practical, career-focused technology courses in Chandigarh. Our Artificial Intelligence training is designed for Class 12 students, college learners, graduates, working professionals, entrepreneurs, small-business owners, marketing professionals and job seekers. We help learners build AI skills through instructor-led classes, practical assignments, guided projects, personalized support and structured interview preparation at affordable fees and flexible schedules.

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    Share it on LinkedIn, Twitter, and Facebook to boost your resume. Frame your achievement and spread the word to friends and colleagues.

    Certificate Of Excellence Technology
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    35,000+ Students

    Completed Their Course Certification from Excellence Technology

    Frequently Asked Question

    The primary objective is to equip learners with foundational and advanced knowledge of artificial intelligence, enabling them to implement AI solutions in real-world scenarios.

    This program is designed for beginners as well as professionals looking to deepen their understanding of AI, including software developers, data analysts, and technology enthusiasts

     It's beneficial to have a basic understanding of programming concepts. However, our course starts with foundational topics, making it accessible for beginners.

    The training primarily focuses on Python and its associated libraries for AI such as TensorFlow and PyTorch.

    The course spans 12 weeks with weekly lectures, hands-on assignments, and project work.

    Yes, upon successful completion of the course and its assignments, participants will receive a Certificate of Completion.

    The program blends both live instructor-led sessions and pre-recorded lectures to provide flexibility and real-time interaction.

    All live sessions are recorded and will be made available for later viewing.

    Absolutely! Practical assignments and project work are core components of the course, ensuring learners apply theoretical knowledge.

     The cost details can be found on our official website or you can contact our support team for specific pricing details.

    deepak kashyap owner excellence technology

    Globally Recognized Certification

    Over 18,000 Aspirants have Trusted Excellence Technology to Achieve Progress in their Careers.

    98%

    Of our diploma program, students have found our course immensely useful.

    98%

    Of our diploma program, students have found our course immensely useful.

    98%

    Of our diploma program, students have found our course immensely useful.

    READY TO TAKE THE NEXT STEP?

    Start Your Artificial Intelligence Journey in Chandigarh

    Speak with our team for batch timing, fees and a personalised learning plan.

    Apply for a free Demo Classes

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    Siya Thakur
    For queries, feedback & assistance

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      Learn from BasicsStart with Python
      Build AI ProjectsApply your skills
      Trainer GuidancePractice & doubt support
      Career PreparationInterview support in Premium+
      Try a Free Demo →Experience before you join
      Choose Your Learning Path

      Artificial Intelligence Programs for Different Career Goals

      Compare the learning depth before selecting your Chandigarh classroom program.

      Premium

      AI Foundations

      Build the programming and data foundation required for applied AI.

      • Python Programming
      • Machine Learning
      • Data Science Foundations
      Check Details
      Platinum

      Advanced AI

      Move from core ML into deep learning and practical analytics.

      • Premium modules
      • Deep Learning
      • Power BI, Tableau, SQL or Advanced Excel
      Check Details
      Diamond

      Agentic AI

      Learn how AI systems plan, use tools and execute guided workflows.

      • Platinum modules
      • Agentic AI concepts
      • Applied agent workflows
      Check Details
      Diploma

      Generative AI Career Path

      Build a deeper portfolio across modern AI and generative systems.

      • Complete advanced track
      • Generative AI
      • Portfolio-focused projects
      Check Details
      Not sure which programme fits your goal?

      Compare syllabus, duration, projects and fees with a Chandigarh learning advisor.

      Practical Learning Process

      How You Will Learn Artificial Intelligence

      A structured path from classroom concepts to projects and interview preparation.

      1

      Learn with a Trainer

      2

      Complete Assignments

      3

      Practise AI Tools

      4

      Build Projects

      5

      Prepare Portfolio

      6

      Interview Support

      Replaceable Student Showcase

      AI Projects Students Can Build

      These neutral image placeholders can be replaced with verified student photographs and project screenshots later.

      Replaceable image

      Generative AI Assistant

      A domain-focused assistant that retrieves relevant information and produces guided responses.

      PythonLLMRAG
      Replaceable image

      Recommendation System

      A machine-learning project that recommends content or products from behavioural data.

      Machine LearningPandasEvaluation
      Replaceable image

      Computer Vision Model

      An image-based model for classification, detection or a practical diagnostic workflow.

      Deep LearningVisionModel Testing
      Chandigarh Google Reviews

      What Students Say About Excellence Technology

      Recent feedback linked to the Sector 34A, Chandigarh Google Business Profile.

      4.8
      ★★★★★

      Based on 352 Google reviews
      Verified September 2026

      ★★★★★
      “The institute provides a well-structured learning environment with knowledgeable and supportive faculty members.”
      SONU · Google Review
      ★★★★★
      “The training sessions were very informative, practical, and educational.”
      Aditya · Google Local Guide
      Read all Chandigarh reviews on Google →

      Ready to Join the Next AI Batch in Chandigarh?

      Check current fees, detailed syllabus and classroom timings for Sector 34A.

      AI COURSE AT A GLANCE

      Your Next Step Into AI,
      With a Clear Learning Path.

      Know the course, explore your options and speak with a Chandigarh learning advisor.

      Flexible Duration

      2–3 to 12 months

      Choose your program depth

      Chandigarh Classroom

      Sector 34A

      SCO 62–63, Second Floor

      Beginner Pathways

      Start with foundations

      Students, graduates & professionals

      Modern AI Skills

      Python → ML → Advanced AI

      Modules depend on your selected track

      Learn by Building

      Guided portfolio projects

      Practise with trainer feedback

      Fees & Batches

      Find your suitable plan

      Confirm current fees and timings

      Advanced AI modules and placement support vary by selected program.

      Choose the Right Learning Path

      AI, Machine Learning and Data Science Course Comparisons

      Use these distinctions to select a course according to the work you want to do—not simply according to the latest course name.

      AI course vs Data Science course: what is the difference?

      An AI course focuses on building systems that can learn, generate, reason or automate tasks using machine learning, deep learning and modern AI models. Data Science focuses more broadly on collecting, cleaning, analysing and explaining data for decisions. Both use Python and statistics, but AI usually goes deeper into intelligent applications, while Data Science gives greater emphasis to analytics, experimentation and insight communication.

      AI course vs Machine Learning course: which should I choose?

      Machine Learning is a major part of Artificial Intelligence. A focused ML course teaches data preparation, model training, evaluation and prediction. A broader AI course may additionally cover deep learning, natural-language applications, Generative AI and Agentic AI. Choose ML for specialised predictive modelling; choose AI when you want a wider learning path that includes ML plus modern intelligent application development.

      Data Science vs Data Analytics: which is better for beginners?

      Data Analytics is often a quicker entry route for beginners because it concentrates on Excel, SQL, Power BI or Tableau, reporting and business insights. Data Science normally adds Python, statistics, machine learning and predictive modelling. Choose analytics if you want dashboard and analyst roles sooner; choose Data Science if you are ready for more coding and mathematics and want to work toward modelling-focused roles.

      Chandigarh vs Mohali classroom AI training

      The core course objective can remain similar at both centres, so your choice should depend on travel time, batch timing, trainer availability and the specific program offered. Chandigarh classes are conducted at Sector 34A, while Mohali classes are available at Sector 72. Attend a demo at the preferred centre and confirm the current trainer and batch rather than selecting only by the city name.

      Three-month vs six-month AI course: which is suitable?

      A three-month AI course is suitable for focused foundations, structured upskilling or learners who already know Python. A six-month program allows more time for Python, statistics, machine learning, deep learning, tools and guided projects. Beginners seeking portfolio development generally benefit from the longer path, while experienced learners may choose a shorter program after a skill assessment identifies the modules they actually need.

      Before You Enrol

      AI Syllabus, Eligibility, Projects and Career Support

      Direct answers to the questions students commonly ask before selecting a batch and program level.

      What does the AI course syllabus in Chandigarh include?

      The Chandigarh AI syllabus can include Python programming, NumPy, Pandas, data visualisation, statistics, supervised and unsupervised machine learning, model evaluation and selected deep-learning topics. Advanced programs may add Generative AI and Agentic AI. Exact coverage depends on the chosen program, so review the location-specific curriculum and project list on the Chandigarh AI course page before admission.

      Is mathematics required for learning AI?

      You do not need advanced mathematics to begin learning AI, but basic algebra, percentages, graphs and logical thinking are useful. As you progress into machine learning and deep learning, probability, statistics, vectors and optimisation become more important. A beginner-friendly course should teach the required concepts alongside practical code so learners understand why a model works without waiting to master every mathematical topic first.

      Can BCA, B.Tech and non-technical students learn AI?

      Yes. BCA and B.Tech students usually have a useful technical base, while non-technical learners can start with computer fundamentals, Python and essential mathematics. Success depends more on consistent practice and a correctly sequenced learning path than on one specific degree. Non-technical students should allow additional time for programming exercises and begin with guided projects before moving to advanced model development.

      Does the course include Generative AI and Agentic AI?

      Advanced Excellence Technology AI programs include modern topics such as Generative AI and Agentic AI according to the selected plan. Learners may study prompting, model APIs, retrieval-based workflows, AI assistants, tool use and agent concepts after building Python and machine-learning foundations. Confirm the exact modules in your chosen Diamond or Diploma plan because advanced coverage, project depth and tools can differ by program duration.

      What practical AI projects are included?

      Projects may include a chatbot, recommendation system, prediction model, classification workflow, image-based application or a Generative AI assistant, depending on the program. Students should work through data preparation, training or model integration, evaluation and presentation rather than only copying finished code. Ask to see the current project list because project complexity should match the modules and duration of the selected course.

      Is placement assistance available after the AI course?

      Placement assistance is available with eligible Premium, Platinum, Diamond and Diploma programs. Support can include resume preparation, portfolio guidance, mock interviews, interview opportunities and job-search planning. Placement assistance does not mean an automatic job offer; outcomes depend on attendance, project quality, technical performance, communication skills and employer requirements. Confirm the current eligibility conditions and included support before choosing a program.

      Need help choosing the correct AI program?Compare syllabus depth, duration, fees and the next Chandigarh batch with a learning advisor.
      Check Fees & Next Batch

      Choose your next step

      Get the Information You Need Before Enrolling

      Compare the detailed syllabus, confirm the next Chandigarh batch or speak with an advisor—without disturbing your current page journey.

      01

      Get Course Syllabus

      Request the latest AI curriculum covering Machine Learning, Deep Learning, Generative AI and Agentic AI.

      Request Syllabus
      02

      Book a Free Demo

      Understand the teaching method, project approach and suitable program before making a decision.

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      03

      Talk to an Advisor

      Ask about current fees, batch timings, eligibility and classroom training at Sector 34A, Chandigarh.

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      EXPLORE THE CURRICULUM

      Artificial Intelligence Course Syllabus in Chandigarh

      Select a module to explore its topics, tools and practical learning.

      01Python & AI Foundations

      MODULE 01

      Python & AI Foundations

      Build the programming and data-handling foundations for practical AI.

      Core Topics

      • AI concepts, use cases and responsible use
      • Python syntax, data types, loops and functions
      • Lists, dictionaries, sets and comprehensions
      • Object-oriented programming and exception handling
      • NumPy arrays, Pandas and CSV / JSON files
      • Environments, notebooks and problem-solving exercises

      Tools & Platforms

      PythonJupyter / ColabNumPyPandas
      Practical work

      Clean a dataset and create a reusable Python analysis script.

      02Maths, Statistics & SQL

      MODULE 02

      Maths, Statistics & SQL

      Understand the data and mathematical concepts used in model building.

      Core Topics

      • Vectors, matrices and applied linear algebra
      • Probability, distributions and descriptive statistics
      • Correlation, sampling and hypothesis testing
      • Data cleaning, missing values and outliers
      • Exploratory analysis and data visualisation
      • SQL queries, joins, grouping and subqueries

      Tools & Platforms

      SQLPandasMatplotlibSeaborn
      Practical work

      Explore a dataset, query key metrics and present visual findings.

      03Machine Learning

      MODULE 03

      Machine Learning

      Train, compare and evaluate predictive models.

      Core Topics

      • Supervised, unsupervised and reinforcement learning concepts
      • Regression, classification, SVM and decision trees
      • Random Forests, boosting and XGBoost
      • Clustering, PCA and dimensionality reduction
      • Preprocessing, feature engineering and model pipelines
      • Train / validation / test splits, cross-validation and metrics

      Tools & Platforms

      Scikit-learnXGBoostPandas
      Practical work

      Build and evaluate a prediction or classification model.

      04Deep Learning

      MODULE 04

      Deep Learning

      Develop neural-network foundations and practical training workflows.

      Core Topics

      • Neurons, layers, activation functions and backpropagation
      • Loss functions, optimisers and learning rates
      • Regularisation, dropout and training diagnostics
      • Convolutional neural networks and transfer learning
      • Sequence models, RNNs and attention concepts
      • Framework-based model training, testing and improvement

      Tools & Platforms

      PyTorch / TensorFlowColab
      Practical work

      Train a neural network and compare validation performance.

      05NLP & Computer Vision

      MODULE 05

      NLP & Computer Vision

      Work with text and visual data through applied AI workflows.

      Core Topics

      • Text cleaning, tokenisation and sentiment analysis
      • Embeddings, sequence representations and transformers
      • Language-model and pretrained-model foundations
      • Image preprocessing and augmentation
      • Image classification and object-detection concepts
      • Evaluation, bias and practical limitations

      Tools & Platforms

      Hugging FaceOpenCVPython
      Practical work

      Develop a sentiment-analysis or image-classification application.

      06Generative AI & LLMs

      MODULE 06

      Generative AI & LLMs

      Understand how to build and evaluate useful LLM applications.

      Core Topics

      • Generative AI use cases and transformer foundations
      • Prompt design, examples and structured outputs
      • LLM APIs, parameters and context management
      • Conversation history and application integration
      • Fine-tuning concepts, LoRA and PEFT overview
      • Evaluation, hallucinations, privacy and responsible use

      Tools & Platforms

      PythonLLM APIsHugging Face
      Practical work

      Build and evaluate a task-focused AI assistant.

      07RAG & Vector Databases

      MODULE 07

      RAG & Vector Databases

      Ground AI responses in relevant documents and retrieved information.

      Core Topics

      • Document loading, parsing and chunking
      • Embeddings and vector-search foundations
      • Vector storage, indexing and metadata filters
      • Retrieval, reranking and context assembly
      • Citations, grounded responses and prompt-injection awareness
      • Retrieval quality, response evaluation and improvement

      Tools & Platforms

      LangChainVector DatabasesPython
      Practical work

      Create a document-based question-answering assistant with source references.

      08Agentic AI & Automation

      MODULE 08

      Agentic AI & Automation

      Create controlled, tool-using AI workflows.

      Core Topics

      • Agents, tools and function calling
      • Workflow state, routing and multi-step planning
      • LangChain and LangGraph workflow foundations
      • Memory, checkpoints and error handling
      • n8n automation and API integrations
      • Guardrails, human review and agent evaluation

      Tools & Platforms

      LangChainLangGraphn8n
      Practical work

      Build a tool-using workflow with human review and failure handling.

      09FastAPI & Deployment

      MODULE 09

      FastAPI & Deployment

      Turn AI models and workflows into usable applications.

      Core Topics

      • FastAPI routes, request validation and API responses
      • PostgreSQL data storage and application integration
      • Git, GitHub and environment configuration
      • Docker containers and deployment foundations
      • API testing, logging and performance monitoring
      • Authentication concepts, secrets and secure usage

      Tools & Platforms

      FastAPIPostgreSQLDockerGit
      Practical work

      Deploy an AI API with validation, documentation and basic monitoring.

      10Capstone & Portfolio

      MODULE 10

      Capstone & Portfolio

      Bring the learning together in an end-to-end AI project.

      Core Topics

      • Problem definition, data preparation and project planning
      • Model or workflow selection and implementation
      • Testing, evaluation and improvement
      • Responsible AI, limitations and documentation
      • GitHub repository, README and demonstration
      • Project presentation and technical discussion

      Tools & Platforms

      GitHubPythonSelected AI Stack
      Practical work

      Build, document and demonstrate a complete portfolio application.

      TOOLS FOR PRACTICAL AI LEARNING

      Your AI Toolkit, From Code to Deployment

      See how each platform supports your practical learning.

      01

      Code & Train

      Build foundations and train models.

      • Python
      • Jupyter
      • Scikit-learn
      • PyTorch

      Practise → Train → Evaluate

      02

      Build Gen AI & Agents

      Create language apps and workflows.

      • Hugging Face
      • LangChain
      • LangGraph
      • n8n

      Prompt → Retrieve → Automate

      03

      Deploy & Showcase

      Turn your work into usable applications.

      • FastAPI
      • PostgreSQL
      • Docker
      • GitHub

      Build → Deploy → Present

      Platforms and module depth depend on the selected course.

      Explore the Curriculum ↑

      CAREER & PLACEMENT SUPPORT

      From AI Skills to Interview Readiness

      Build your portfolio, strengthen your profile and prepare for interviews.

      01

      Build Your AI Portfolio

      Showcase guided projects on GitHub and your portfolio.

      02

      Strengthen Your Profile

      Get resume and LinkedIn profile guidance.

      03

      Practise for Interviews

      Prepare with technical mocks and communication practice.

      04

      Access Placement Support

      Explore relevant openings through the placement portal.

      Placement support: Premium, Platinum, Diamond & Diploma programmes.