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Read More →Learners in Mangaluru can join Uncodemy's Artificial Intelligence program through live online instructor-led classes conducted over 5–6 months. The training progresses from Python and Machine Learning to Deep Learning, NLP, Computer Vision, and Generative AI & LLM fundamentals. Uncodemy does not operate a physical centre in Mangaluru, so sessions for Mangaluru participants are conducted completely online. Those seeking classroom learning can attend Uncodemy's Delhi or Noida centres. Fee: ₹24,500 + 18% GST, total ₹28,910. EMI starting from ₹4,818/month for 6 months*.
Learn from 8+ years experienced professionals
Build real artificial intelligence test suites, not just theory
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
After completing Uncodemy's Artificial Intelligence training, learners from Mangaluru can develop hands-on knowledge of Python, machine learning, deep learning, NLP, computer vision and generative AI. With the required technical and career preparation, eligible learners can explore opportunities such as AI Engineer, Machine Learning Engineer, Deep Learning Engineer and other related roles. Placement outcomes for Mangaluru learners are updated regularly — view verified results at uncodemy.com/placement.
Artificial Intelligence combines data, algorithms, and computing techniques to create systems that can identify patterns, generate useful outputs, and support automated decisions. The field covers areas such as machine learning, deep learning, natural language processing, and computer vision. These technologies are used in applications ranging from personalised recommendations and speech recognition to intelligent search, fraud monitoring, image analysis, and modern generative AI platforms.
What does an AI engineer do? An AI engineer works with data and computational models to develop intelligent software solutions. Their responsibilities can include preparing datasets, creating ML/DL models, testing their performance, developing NLP or computer vision workflows, connecting LLM-based features with applications, and making models available through APIs. The role combines programming, statistics, machine learning concepts, and knowledge of the application domain.
Uncodemy offers three related programs for learners exploring modern AI technologies, but each one follows a different learning path. The comparison below highlights how their focus and depth differ.
| Aspect | Artificial Intelligence | LLM Engineering | RAG Engineering |
|---|---|---|---|
| Core focus | Broad foundation across ML, DL, NLP, CV and GenAI | Building, fine-tuning & deploying LLM-powered applications | Building retrieval-grounded AI systems on enterprise knowledge |
| Coding depth | High | High | High |
| Typical entry salary | ₹4–8 LPA (Entry-Level AI Engineer, per this sheet) | ₹6–10 LPA (per LLM Engineering course sheet) | ₹5–9 LPA (per RAG Engineering course sheet) |
| Uncodemy program duration | 5–6 months | 5–6 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
Uncodemy's Artificial Intelligence course is a 5–6 month live online program featuring 110+ live sessions and 183+ hours of learning. The training is divided into 13 modules, beginning with AI fundamentals and Python before covering mathematics and statistics, data preparation, machine learning, supervised and unsupervised algorithms, model evaluation, deep learning, neural networks, NLP, computer vision, generative AI, LLM fundamentals, AI deployment, and a 25-hour industry capstone. Mangaluru learners work through practical exercises using relevant tools during the program. The complete course is conducted live online, while classroom learning is available at Uncodemy's Delhi and Noida centres for learners who are able to travel.
Who should join this course:
Eligibility: Graduates from technical as well as non-technical backgrounds can enrol. Previous programming experience is useful but not compulsory, as Python is introduced from Module 2. Basic familiarity with mathematics and statistics can help with the later modules, while the course also develops these concepts progressively. A laptop and reliable internet connection are needed for practical learning.
Find a live online batch that works around your routine. Classes are conducted in IST, with weekday and weekend options available for Mangaluru learners. You can attend a free demo before enrolling and choose a schedule that suits your study or work commitments, with practical training included throughout the course.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 16Oct | 07:30 PM – 08:30 PM | Mr. Irshad | 01Seat |
| 22Oct | 02:00 PM – 03:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 10:30 AM – 11:30 AM | Mr. Irshad | 01Seat |
| 30Oct | 12:00 PM – 01:00 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Oct | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
8+ new batches start every month. Live online batches, IST timings. Seats are limited and updated daily.
The syllabus is organised into 13 modules covering 183+ hours . The order follows how AI skills build: foundations → Python → math/stats → data preprocessing → ML fundamentals → supervised/unsupervised learning → model evaluation → deep learning → NLP → computer vision → GenAI/LLM fundamentals → deployment → industry capstone. Each module includes practical exercises with real tools, and the program closes with hands-on AI projects and an industry capstone.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Artificial Intelligence Fundamentals | 10 | Python, Jupyter Notebook |
| 2 | Python for Artificial Intelligence | 15 | Python, Jupyter Notebook, Git/GitHub |
| 3 | Mathematics & Statistics for AI | 12 | Python, NumPy, SciPy |
| 4 | Data Preprocessing & Feature Engineering | 12 | Pandas, NumPy, Matplotlib, Seaborn |
| 5 | Machine Learning Fundamentals | 15 | Scikit-learn, Pandas |
| 6 | Supervised & Unsupervised Learning | 15 | Scikit-learn, Matplotlib |
| 7 | Model Evaluation & Optimization | 10 | Scikit-learn, Seaborn |
| 8 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras, PyTorch |
| 9 | Natural Language Processing (NLP) | 12 | NLTK, spaCy, Hugging Face |
| 10 | Computer Vision & Image AI | 12 | OpenCV, PyTorch, TensorFlow |
| 11 | Generative AI & LLM Fundamentals | 15 | OpenAI APIs, Hugging Face |
| 12 | AI Applications, APIs & Deployment | 15 | FastAPI, Docker, Git/GitHub |
| 13 | AI Projects & Industry Capstone | 25 | All tools |
| Total | 183 Hours | 15+ tools | |
Learners from Mangaluru who complete all 13 modules, submit the required assignments and finish the AI Projects & Industry Capstone receive the Uncodemy Artificial Intelligence Program Certificate. It includes key details such as the program title, training duration, tools covered and completion date. The certificate can be verified online through certificate.uncodemy.com and serves as an official record of successful program completion.
This certification reflects the practical learning completed throughout the course rather than classroom attendance alone. The training includes ML, DL, NLP and computer vision projects, data preprocessing tasks and the 25-hour AI Projects & Industry Capstone. Learners gain hands-on exposure to Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
This is an independent Uncodemy certificate. It is not affiliated with, endorsed by, or a credential of OpenAI, Google, Meta, or any other AI vendor whose frameworks and tools are studied in this course.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
NumPy
Pandas
Scikit-learn
Matplotlib
Seaborn
TensorFlow
Keras
PyTorch
OpenCV
Hugging Face
OpenAI APIs
Jupyter Notebook
Git/GitHub
FastAPI
Uncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd. With more than 14 years of training experience, classroom centres in Delhi and Noida, and live online learning available across India including Mangaluru, Uncodemy provides instructor-led training for emerging technologies.
The Artificial Intelligence program takes learners through the key stages of AI development, covering data preprocessing, feature engineering, machine learning, deep learning, NLP, computer vision and GenAI applications. The course also includes model evaluation, optimization, API-based deployment and a 25-hour industry capstone project.
Training is supported through live instructor-led classes, practical assignments, project work, interview preparation and career support. The scope and limitations of this support are explained in the career support policy, while the eligibility conditions are published before enrolment rather than after payment.
Learners exploring other technology paths can also look at LLM Engineering, RAG Engineering, AI Security and Generative AI & Agentic AI courses for Mangaluru and coastal Karnataka learners.
Portfolio/capstone project review:Your hands-on ML/DL/NLP/CV work and industry capstone are reviewed and refined into a portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around AI/ML keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:ML/DL concept questions, coding rounds, case-study discussions and AI-specific interview scenarios.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.
Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy keeps classroom instruction and independent academic review as separate responsibilities. Trainers conduct the live sessions, while domain reviewers examine the syllabus for technical accuracy and continued relevance without teaching the batch. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, providing an additional quality check alongside the teaching process.
Faculty supporting the Delhi classroom batches also teach through the Noida and online formats. Learners considering the program can request to observe a portion of a live class before deciding whether to enrol.
Uncodemy openly shares trainer and reviewer names, their areas of expertise and professional backgrounds, allowing prospective learners to understand who is associated with the course before joining.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Analytics & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Analytics & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Analytics Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Analytics Trainer
Expertise
Data Analytics Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Start your AI learning journey with Uncodemy's Artificial Intelligence course for Mangaluru learners. The program combines Python, machine learning, deep learning, NLP, computer vision and generative AI through live online classes, practical exercises and a 25-hour industry capstone. Learners also receive structured interview and career preparation throughout the training.
| Role | Core Tools |
|---|---|
| AI Engineer | Python, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, Scikit-learn, Pandas, NumPy |
| Deep Learning Engineer | TensorFlow, Keras, PyTorch |
| Computer Vision Engineer | OpenCV, PyTorch, TensorFlow |
| NLP Engineer (Junior) | NLTK, spaCy, Hugging Face |
| Generative AI Engineer | OpenAI APIs, Hugging Face, LangChain |
| Role | Salary Range |
|---|---|
| Entry-Level AI Engineer | ₹4–8 LPA |
| Machine Learning Engineer | ₹6–12 LPA |
| AI/ML Engineer | ₹8–16 LPA |
| Deep Learning Engineer | ₹8–18 LPA |
| Generative AI Engineer | ₹8–18 LPA |
| Computer Vision Engineer | ₹7–16 LPA |
| Senior AI Engineer | ₹15–28 LPA |
| AI Solutions Architect | ₹20–35 LPA |
| Factor | This Program |
|---|---|
| Duration | 5–6 months |
| Learning hours | 183+ |
| Live sessions | 110+ |
| Tools | 15+ |
| Capstone | 25-hour Industry project |
| Career support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Broad AI/ML career transition covering ML, DL, NLP, CV and GenAI | This program |
| Already know GenAI/LLM basics, want ML/DL fundamentals too | This program |
| Narrow LLM application development only | Consider LLM Engineering course instead |
| Narrow retrieval-system specialisation | Consider RAG Engineering course instead |
The Artificial Intelligence program is completed over 5–6 months, with 183+ hours of structured learning delivered through 110+ live sessions. Learners can choose from weekday or weekend batches depending on their availability.
No. The course starts with the required programming foundation, so previous Python or machine learning experience is not compulsory. Python is introduced in Module 2, followed by the relevant mathematics and statistics concepts in Module 3.
The curriculum includes 15 tools and technologies: Python, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Keras, PyTorch, OpenCV, Hugging Face, OpenAI APIs, Jupyter Notebook, Git/GitHub and FastAPI.
Yes. Deep Learning & Neural Networks is covered in Module 8 for 15 hours, Natural Language Processing in Module 9 for 12 hours, and Computer Vision & Image AI in Module 10 for 12 hours.
The capstone forms Module 13 and provides 25 hours for an AI Projects & Industry Capstone. Learners work on an end-to-end AI project that brings together model development, practical problem solving and deployment concepts.
The program is delivered through 110+ live, instructor-led sessions. Recordings are made available afterwards so learners can revisit explanations and revise important topics.
The course costs ₹24,500 plus 18% GST, bringing the total fee to ₹28,910. This fee remains the same for the available learning modes and locations.
EMI plans start at ₹4,818 per month for 6 months. The final financing terms, tenure and eligibility depend on the payment option available to the learner and can be confirmed with the counselling team.
Yes. Learners can attend a demo session before enrolling to understand the trainer's teaching approach, course structure and learning format. The demo can be booked through Uncodemy.
Dedicated Career & Placement Assistance includes resume preparation, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and opportunity sharing through the 850+ company network. These services support the job search but do not guarantee employment.
Entry-level AI Engineer compensation is often seen around ₹4–8 LPA as an indicative market range. Getting a role depends on technical preparation, projects, interview performance, employer requirements and prevailing market conditions.
Indicative ranges are ₹4–8 LPA for Entry-Level AI Engineer, ₹6–12 LPA for Machine Learning Engineer, ₹8–16 LPA for AI/ML Engineer, ₹8–18 LPA for Deep Learning Engineer, ₹8–18 LPA for Generative AI Engineer, ₹7–16 LPA for Computer Vision Engineer, ₹15–28 LPA for Senior AI Engineer and ₹20–35 LPA for AI Solutions Architect. Actual compensation varies with skills, experience, employer, role and market conditions.
Potential role areas include AI Engineer, Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer (Junior) and Generative AI Engineer, depending on the learner's skills and experience.
Graduates from technical as well as non-technical disciplines can join. The program can also suit working professionals moving toward AI/ML, aspiring AI engineers and career changers looking to develop artificial intelligence skills.
No. The figures are based on Uncodemy's internal records and information available from public review platforms. Salary and placement results differ according to learner profile, skills, experience, employer, location and market conditions.
No. Mangaluru learners can attend the program through live online classes. Classroom training is available at Uncodemy's Delhi (Laxmi Nagar/Shakarpur) and Noida (Sector 1) centres for learners who are able to travel.
No. The certificate is issued independently by Uncodemy. Studying tools or frameworks associated with OpenAI, Google, Meta or other vendors does not make the certificate an affiliated or vendor-issued credential.
4.7/5 (500+)
5/5 (30+)
4.7/5 (500+)
5/5
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5/5 (54+)