Included in the program are courses on analysis methods, critical thinking, plain-language writing, policy development, national security, terrorism and conflict, and ethics. Before you can be issued a certificate, you'll need to apply for admission to the certificate program. Your application should be submitted as early as possible and before you've completed six credits. Program Website. Specific topics include the intelligence cycle, the relationship between intelligence professionals and policy makers, the restructuring of the U.
The moral and ethical implications of intelligence practices will also be discussed. This course seeks to develop in students the skills and abilities necessary for conducting basic intelligence analysis.
A variety of exercises and practical applications are used to foster critical thinking skills, the planning and coordination of data collection from a variety of sources, and the use of analytic tools to establish connections between people, places, events and other entities.
Students are exposed to computer software programs that visually depict complex relationships. This course introduces the student to the discipline of intelligence and provides the student with an understanding of how intelligence systems function and how intelligence estimates and products are derived. By understanding the basic psychology of intelligence, organizational trends and cognitive cultural difference, the student will gain insight to how intelligence analysis actually transpires.
If students complete this certificate and would like to continue their graduate education, all courses from the Graduate Certificate in Intelligence Analysis count toward a Master of Arts in Intelligence and Security Studies. For programming assignments, the course uses the open-source programming language Octave, which is a simple way to learn the fundamentals of ML. Numerous case studies and applications are included in the course to help learners get hands-on practice.
They get to apply learning algorithms to building smart robots perception, control , text understanding web search, anti-spam , computer vision, medical informatics, audio, database mining, and other areas. Duration : 11 weeks, hours per week Rating : 4. The part of AI that is rising rapidly and driving a lot of developments and transformations that AI is touted for is Deep Learning. This Coursera Deep Learning specialization created and taught by Andrew Ng is a more advanced course series for those looking to learn about AI and deep learning, how to apply it to solve problems and build a career in AI.
Since it is not an entry level program, learners are expected to have Python programming and mathematics skills and some knowledge and experience in machine learning. This is a five course specialization where students learn the important technical skills and tools of deep learning. These courses cover the following topics:. Alongside this, courses cover various real-world case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
The students get to work on many exciting projects from building a face recognition system, to building a simple translation system, and more. Furthermore, there are interviews and discussions with top leaders and pioneers in the field that give students career advice, inspiration and help them comprehend situations that they are likely to face in the real world.
Duration : 4 months, 5 hours per week Rating : 4. It is aimed for those who want to learn the skills to work as AI developers. It imparts firm understanding of AI, its applications and use cases. Students also learn to get started with using pre-built AI smarts without having to create AI models and backends from scratch. This is a beginner level AI Certification comprising of 6 courses and can be taken by learners with both technical and non-technical backgrounds.
These courses do not require any programming knowledge and have no prerequisites. They are:. The final two courses require some knowledge of Python to build and deploy AI applications. An introductory Python course is included in the program for learners with no programming background. So the remaining 3 courses in the program are the following:. The curriculum of this program is very extensive and includes number of hands-on learning projects, including building your own AI chatbot; building, training and testing custom image classifiers; creating a computer vision web application and deploying it to the Cloud.
Duration : months, hours per week Rating : 4. This is another popular certificate course in artificial intelligence from IBM. It has been designed to impart the skills and tools necessary for starting a career as an AI or ML Engineer. It is suitable for existing professionals such as AI developers and data scientists who want to level up with machine learning and deep learning skills, as well as students looking to enter the workforce with highly in-demand AI and ML skills.
The program comprises of six self-paced courses that provide learners with a complete understanding of machine learning and deep learning concepts and how to apply them to real world projects. All courses have hands-on labs and projects including use cases and real world applications of AI.
This is an intermediate level program and requires prior knowledge and background in certain areas like high school level mathematics, Python programming and using Jupyter notebooks. In addition to these, knowledge of SQL, statistical analysis and some linear algebra are also very helpful. Duration : months, 12 hours per week Rating : 4. The program consists of a series of 4 courses that serve as a foundation of expertise in artificial intelligence and machine learning and two of its key applications — robotics and computer animation.
These courses are as follows:. Apart from the video lectures, the program includes quizzes, programming assignments, peer-reviewed assignments, and community discussion forums. Intelligence is a growing and increasingly important field devoted to learning and research for the benefit of the United States and ultimately the world.
Gain both theoretical and practical knowledge and perspective to become a highly qualified and sought after intelligence expert—prepared for important positions within the intelligence community. The Certificate complements the current M. Our faculty are a combination of Johns Hopkins professors, scholar-practitioners, and experts at the highest levels of government and industry.
This certificate provides a framework within which you can tailor the program to your specific interests and career needs. The United States Geospatial Intelligence Foundation USGIF is the only organization dedicated to promoting the geospatial intelligence tradecraft and building a stronger community of interest across industry, academia, government, professional organizations, and individual stakeholders.
There may be additional costs for living expenses. Fewer than 10 students completed this program within normal time. This number has been withheld to preserve the confidentiality of the students. For more information about graduation rates, loan repayment rates, and post-enrollment earnings about this institution and other postsecondary institutions please click here. You are here:.
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