AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Artificial Intelligence & Machine Learning Diploma
A long-form program covering Python, machine learning, deep learning and applied AI.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Build a full AI and machine-learning career base across Python, data, predictive models, deep learning, generative AI and deployment.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Machine Learning EngineerAI Application DeveloperJunior Data ScientistComputer Vision or NLP Associate
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You want a long-form AI career programme
You need Python, ML and deep-learning foundations
You want deployed projects and placement preparation
YOUR LEARNING ARC
From guided foundation to finished work.
Build
Learn Python, mathematics and data preparation.
Model
Train and compare machine-learning systems.
Apply
Create vision, language and generative-AI features.
Ship
Deploy, document and defend an industry capstone.
INDUSTRY TASKS
Practise the work, not only the tool.
- Complete a supervised ML model study
- Build an image or language application
- Deploy and defend an end-to-end AI capstone
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Program and analyse data in Python
A notebook portfolio with data-quality and statistical work.
02
Train and evaluate ML models
A compared model study with metric and error records.
03
Build deep-learning and generative-AI features
A tested image, text or document application.
04
Deploy and defend an industry project
A working capstone, GitHub case and interview presentation.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Build a long-form AI and machine-learning career foundation covering Python, data, supervised learning, deep learning, deployment and a job-ready project portfolio.
Python, mathematics and data foundations
Build the coding and quantitative base required for later model work.
CORE TOPICS
- Python programming and problem solving
- NumPy, Pandas and data preparation
- Statistics, probability and linear algebra
- Visual analysis and reproducible notebooks
GUIDED PRACTICE
Clean and investigate a real dataset while recording data-quality decisions.
MODULE DELIVERABLE
Python and data foundation portfolio
Machine learning methods
Train baseline and improved models for prediction, classification and segmentation.
CORE TOPICS
- Regression and classification
- Feature preparation and pipelines
- Clustering and dimensionality reduction
- Validation, metrics and model selection
GUIDED PRACTICE
Compare several models on one business problem and justify the final choice.
MODULE DELIVERABLE
Machine-learning model study
Deep learning, vision and language
Create neural-network projects across image and text tasks.
CORE TOPICS
- Neural-network and training concepts
- Convolutional networks and computer vision
- NLP, embeddings and transformers
- Generative AI and model APIs
GUIDED PRACTICE
Build one image or language application and evaluate its errors.
MODULE DELIVERABLE
Applied deep-learning project
AI applications, APIs and deployment
Turn models and language-model features into usable software.
CORE TOPICS
- FastAPI and inference services
- Retrieval and document assistants
- Containers, versioning and cloud concepts
- Monitoring, safety and access
GUIDED PRACTICE
Package a model behind an API and connect it to a simple user interface.
MODULE DELIVERABLE
Deployed AI application
Industry capstone, portfolio and placement preparation
Join the full workflow from problem and data to tested solution and interview defence.
CORE TOPICS
- Problem framing and project planning
- Experiment records and evaluation
- GitHub, documentation and case study
- Interview, portfolio and presentation practice
GUIDED PRACTICE
Deliver and defend an end-to-end AI or ML capstone with code, tests and operating notes.
MODULE DELIVERABLE
AI and ML diploma capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
PythonTensorFlowPyTorchscikit-learn
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Can a beginner join?
Yes. The programme starts with Python and data foundations before moving into model work.
＋Are TensorFlow and PyTorch included?
Neural-network work uses current Python libraries, including TensorFlow or PyTorch according to the project.
＋Does the diploma include placement preparation?
Yes. GitHub, portfolio cases, project defence and interview practice are included.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.