Certification in Artificial Intelligence
Artificial Intelligence is a major step forward in how computer system adapts, evolves and learns. It has widespread application in almost every industry and is considered to be a big technological shift, similar in scale to past events such as industrial revolution, the computer age and the smart phone revolution.
Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
These are three types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.
Machine learning is an important component of the growing field of data science. Through the use of statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects.
These insights subsequently drive decision making within applications and businesses, ideally impacting key growth metrics. As big data continues to expand and grow, the market demand for data scientists will increase, requiring them to assist in the identification of the most relevant business questions and subsequently the data to answer them.
Machine learning, deep learning, and neural networks are all sub-fields of artificial intelligence. However, deep learning is actually a sub-field of machine learning, and neural networks is a sub-field of deep learning.
Key Components of AI Certification Programs
Foundational Knowledge: AI certification programs typically begin with a comprehensive exploration of foundational concepts. Participants gain insights into the basics of machine learning, data analysis, and programming languages essential for AI development.
Specialized Training Modules: As the certification progresses, participants delve into specialized modules tailored to provide in-depth knowledge of specific AI applications. These may include topics such as natural language processing, computer vision, and reinforcement learning, allowing individuals to develop expertise in niche areas within the AI domain.
Hands-on Projects and Case Studies: Practical application is a central element of AI certification programs. Participants engage in hands-on projects and case studies, applying theoretical knowledge to solve real-world problems. This experiential learning approach enhances problem-solving skills and fosters a deeper understanding of AI applications.
Industry-Relevant Skills Development: To ensure the certification remains relevant in the rapidly changing AI landscape, programs often incorporate industry trends and best practices. Participants gain exposure to the latest tools and technologies, preparing them for the challenges of implementing AI solutions in real-world scenarios.
Career Advancements through AI Certification
Earning a certification in AI significantly enhances one’s employability and career prospects. Employers across diverse sectors value individuals with specialized AI knowledge, making certified professionals attractive candidates for roles such as AI engineer, data scientist, AI consultant, and more.
Versatility Across Industries: AI certification holders find themselves equipped to navigate various industries, including healthcare, finance, e-commerce, and manufacturing. The versatility of AI skills allows individuals to contribute to solving complex problems in different domains.
Entrepreneurial Opportunities: Beyond traditional employment, AI-certified professionals often explore entrepreneurial avenues. The ability to develop and deploy AI solutions positions individuals to create innovative products and services, contributing to the growing ecosystem of AI-driven startups.
(FAQs) about the Certification in Artificial Intelligence from LA Bootcamps
1. What is the duration and structure of the Certification in Artificial Intelligence program at LA Bootcamps?
The Certification in AI program typically spans a few months, offering a condensed yet comprehensive curriculum focusing on key AI concepts, machine learning, deep learning, and practical applications. The structure includes lectures, hands-on workshops, and projects designed to impart practical skills.
2. Is prior experience or a technical background necessary to enroll in the AI certification program?
While a technical background in computer science or related fields can be advantageous, the AI certification program at LA Bootcamps is designed to accommodate individuals from diverse backgrounds. Basic knowledge of programming and an interest in AI concepts are beneficial, and the program also offers introductory modules to accommodate various skill levels.
3. What topics and technologies are covered in the Certification in AI program?
The program covers fundamental AI concepts, machine learning algorithms, neural networks, natural language processing, computer vision, and more. Additionally, students gain hands-on experience with popular AI tools and platforms, enabling them to apply their knowledge effectively.
4. How does the Certification in AI from LA Bootcamps contribute to career development or advancement?
Completing the AI certification program equips individuals with practical skills and knowledge crucial in today’s AI-driven job market. LA Bootcamps offers career support services, including resume building workshops, interview preparation, and networking opportunities to assist participants in securing roles in AI-related fields.
5. Are there any post-certification benefits or opportunities for further education?
After earning the AI certification, participants receive a credential demonstrating their proficiency in AI fundamentals, enhancing their professional profile. LA Bootcamps also provides guidance on advanced AI courses or specialized tracks for individuals seeking further education or specialization in specific AI domains.
Certificate & Courses
- Diploma in Cyber Security
- Post-Graduate Diploma in Cyber Security
- Certification in Cyber Security
- Post-Graduate Diploma in Data Science
- Certification in Data Analytics with Python
- Diploma in Artificial Intelligence (AI)
- Post Graduate Diploma in Artificial Intelligence (AI)
- Certification in Artificial Intelligence (AI)
- Post Graduate Diploma in Machine Learning (ML)
- Certification in Machine Learning (ML)
- Certification in Cloud Computing
- Certification in Blockchain
Bill Gates
Co-founder of Microsoft and Bill & Melinda Gates Foundation“A Break Through In Machine Learning will be worth TEN Microsofts”
 | Duration: 4 MONTHS Schedule: Weekdays – 2 Hrs / 4 days a week Weekends – 4 Hrs / Sat & Sun |
Unit 1: Artificial Intelligence (AI) – Introduction & Concepts
Unit 2: Machine Learning (ML) – Introduction & Concepts
Unit 3: Basics of Deep Learning techniques
Unit 4: Neural Networks
Unit 5: Tensor Flow and Tensor processing units
Unit 6: Supervised and Un-supervised learning methods
Unit 7: Machine Learning using Python
Unit 8: Applications of Deep Learning in image recognition, NLP etc.
DELIVERY METHODOLOGY
- SESSIONS CONDUCTED BY TRAINER AS PER FIXED ACADEMIC CALENDAR
- PRACTICAL HANDS ON SESSIONS
- PRACTICAL SESSION ON LABS AND HANDS ON WITH EXPERTS
- ASSIGNMENTS & ASSESMENTS
- PROJECTS AND CASE STUDIES
Students who have successfully completed their course as per Terms and conditions will be eligible for the certification.
Certification in Cyber Security will be provided jointly by St. Xavier’s Technical Institute and L.A Bootcamps.
St. Xavier’s Technical Institute is affiliated to Directorate of Technical Education and approved by All India Council for Technical Education (AICTE) and autonomous institute.
ADMISSION CRITERIA
- 12th HSC or Passed and Dropouts
- BE/BTech/BSC/BCA/MTech/MSC/MCA/ or Passed out students pursuing or Graduate
- Graduate (any stream ) Studying or Passed out students
- Working professionals in the IT & Tech sector
- Any one is eligible who is excel in this program
Over the last few years, artificial intelligence (AI) has opened up possibilities for the future. From space exploration to melanoma detection, it is making waves across industries, making impossible things possible.
Artificial Intelligence is a Good Career as AI jobs are plenty and growing by 32% in the last couple of years. There is a high talent gap – not enough qualified applicants for vacant positions.
What AI Careers you can pursue ?
Despite being a new and niche field, careers in artificial intelligence aren’t homogenous. Within AI, there are various kinds of jobs needing specific skills and experience. Let us look at the top ten one by one.
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
- Software Engineer
- Software Architect
- Data Analyst
- Robotics Engineer
- NLP Engineer
Vast Applications of AI
- Healthcare: Proper diagnosis and treatment are facilitated by introducing AI in healthcare.
- Education: A suitable learning environment is furnished to the students by utilizing AI.
- Sports: With advanced AI technologies, athletes can expand their capabilities.
- Agriculture: Maximum yield is possible by AI as it helps in developing the perfect farming environment.
- Construction: Buildings can be constructed more safely and efficiently by the incorporation of AI.
- Banking: Chat-bot assistance, fraud detection, and enhanced payment methods are some of the positive outcomes of AI.
- Marketing: The sales target can be effectively achieved by making use of predictive intelligence along with machine learning.
- E-commerce: Effective warehouse operations, good product recommendations, and fraud prevention are some of the fruits of AI.
Future of AI
According to the Gartner report of 2019, there has been a 270% growth in the applications of AI from 2015 – 2019. Thus, the importance of AI is bound to climb high in the future. AI career opportunities are drastically reaching great heights. Moreover, roles associated with AI also pay quite high.
L.A Bootcamps will provide 100% Placement Assistance to all students who successfully complete the course and extend below complimentary placement services to the students:
- Resume Building assistance
- Career Mentoring with Industry Professionals
- Interview Preparation sessions
- Career Fairs
- Internship opportunities for Freshers
